Road and bridge projects are expected to make up one of the biggest chunks of the jobs created in the stimulus package. Below, you’ll find a chart of more than 5,800 projects that have been approved by the U.S. Department of Transportation. Once given the green light, states can put the projects out to bid, contract them and begin construction work. So far, about 2,300 projects are under way.
Help us find out how much progress has been made on these projects by participating in our Stimulus Spot Check.
For more on the stimulus, check out our blog and resource page.
| State | Urban Area | Project Description | Improvement Type | ARRA Funds Obligated |
|---|---|---|---|---|
| INDIANA | EMBREE STREET, SURFACE TREATMENT, FROM SR 64 TO OLD US 41/WARNOCK STREET, GIBSON COUNTY, SR-32218 | Pavement Improvement | $184,129 | |
| INDIANA | MAKEMSON AVENUE, SURFACE TREATMENT, FROM PARK AVENUE TO CAROL AVENUE, GIBSON COUNTY, SR-32218 | Pavement Improvement | $27,373 | |
| INDIANA | SEMINARY STREET, SURFACE TREATMENT, FROM OHIO STREET TO CHRISTIAN STREET, GIBSON COUNTY, SR-32218 | Pavement Improvement | $48,498 | |
| INDIANA | JASPER-DUBOIS ROAD, SURFACE TREATMENT, FROM SR 164 TO SR 545, DUBOIS COUNTY, SR-32252 | Pavement Improvement | $941,458 | |
| INDIANA | COUNTY ROAD 1100S, SURFACE TREATMENT, FROM US 231 TO INDUSTRIAL PARK ROAD, DUBOIS COUNTY, SR-32252 | Pavement Improvement | $558,542 | |
| INDIANA | GREENSBURG STREET, HMA OVERLAY, FROM US 50 TO WOODLAWN DRIVE, JENNINGS COUNTY, SRS-32287 | Pavement Improvement | $85,000 | |
| INDIANA | MICHIGAN ROAD, HMA OVERLAY, FROM WEST STREET TO GREEN ROAD, JEFFERSON COUNTY, SRS-32292 | Pavement Improvement | $230,000 | |
| INDIANA | WAYNE STREET, HMA OVERLAY, FROM 800' S OF CEDAR STREET (TOWN LIMITS) TO WALNUT STREET, DEKALB COUNTY, SR-32327 | Pavement Improvement | $193,790 | |
| INDIANA | N COMMERCE DRIVE, HMA OVERLAY, FROM 5' N OF RR TRACKS TO 1064' N OF LINCOLN STREET (TOWN LIMITS), DEKALB COUNTY, SR-32327 | Pavement Improvement | $48,305 | |
| INDIANA | CENTER STREET, HMA OVERLAY, FROM US 6 TO ROPE STREET, DEKALB COUNTY, SR-32327 | Pavement Improvement | $68,983 | |
| INDIANA | ROPE STREET, HMA OVERLAY, FROM CENTER STREET TO SR 427, DEKALB COUNTY, SR-32327 | Pavement Improvement | $107,887 | |
| INDIANA | WALNUT STREET, HMA OVERLAY, FROM ALBRIGHT STREET TO 319' W OF SR 39 (TOWN LIMITS), DEKALB COUNTY, SR-32327 | Pavement Improvement | $57,773 | |
| INDIANA | WALNUT STREET, HMA OVERLAY, FROM CENTER STREET TO WAYNE STREET, DEKALB COUNTY, SR-32327 | Pavement Improvement | $60,263 | |
| INDIANA | LOUISVILLE (KY)-IN | CAMP CREEK-BETHLEHEM ROAD, HMA OVERLAY, FROM FLINT RIDGE RD TO BETHLEHEM NEW WASHINGTON, CLARK COUNTY, SRS-32334 | Pavement Improvement | $265,000 |
| INDIANA | LOUISVILLE (KY)-IN | MARTINSBURG KNOB ROAD, HMA OVERLAY, FROM BORDEN GREENVILLE ROAD TO WASHINGTON COUNTY, CLARK COUNTY, SRS-32364 | Pavement Improvement | $250,000 |
| INDIANA | GARTHWAITE ROAD, HMA OVERLAY, FROM 1.12 MI S OF CR 200S TO CR 200S, GRANT COUNTY, SR-32380 | Pavement Improvement | $141,868 | |
| INDIANA | COUNTY ROAD 300S, HMA OVERLAY, FROM CR 300W TO SR 37, GRANT COUNTY, SR-32380 | Pavement Improvement | $251,899 | |
| INDIANA | COUNTY ROAD 600E, HMA OVERLAY, FROM 580' N OF SR 18 TO CR 700N, GRANT COUNTY, SR-32380 | Pavement Improvement | $624,421 | |
| INDIANA | COUNTY ROAD 200N, HMA OVERLAY, FROM CR 300E TO CR 600E, GRANT COUNTY, SR-32380 | Pavement Improvement | $331,485 | |
| INDIANA | COUNTY ROAD 400E, HMA OVERLAY, FROM WALNUT CREEK TO CR 200S, GRANT COUNTY, SR-32380 | Pavement Improvement | $126,794 | |
| INDIANA | COUNTY ROAD 950E, HMA OVERLAY, FROM MATTHEW'S (TOWN LIMITS) TO SR 26, GRANT COUNTY, SR-32380 | Pavement Improvement | $268,533 | |
| INDIANA | WABASH AVENUE, HMA OVERLAY, FROM KICKAPOO STREET TO PARK AVENUE, BLACKFORD COUNTY, SR-32381 | Pavement Improvement | $92,900 | |
| INDIANA | COUNTY ROAD 40, HMA OVERLAY, FROM SR 1 TO INDIANA/OHIO STATE LINE, DEKALB COUNTY, SR-32382 | Pavement Improvement | $407,062 | |
| INDIANA | AUBURN DRIVE, HMA OVERLAY, FROM 1620' W OF DIEHL DRIVE (CITY LIMITS) TO 140' W OF WAYNE STREET, DEKALB COUNTY, SR-32383 | Pavement Improvement | $305,463 | |
| INDIANA | MAIN STREET, HMA OVERLAY, FROM 40' N OF GATES COVE TO CR 36 (CITY LIMITS), DEKALB COUNTY, SR-32383 | Pavement Improvement | $237,037 | |
| INDIANA | SR 32 - Bridge over Sparrow Creek, 0.90 mile E of SR 1 | Bridge Replacement | $867,750 | |
| INDIANA | US 35, SMALL STRUCTURE REPLACEMENT, 0.01 MI S OF N JCT WITH SR 8, OVER LARAMORE DITCH, STARKE COUNTY, SR-29588 | Pavement Improvement | $793,700 | |
| INDIANA | ELKHART-GOSHEN | SR 19, INTERSECTION IMPROVEMENT W/ADDED TURN LANES, AT CR 42, ELKHART COUNTY, SR-30398 | Pavement Widening | $1,057,863 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | SR 8, DRAINAGE DITCH CORRECTION, FROM 0.5 MI W OF SR 49 TO SR 49, PORTER COUNTY, SR-29694 | Safety/Traffic Management | $1,575,000 |
| INDIANA | ELKHART-GOSHEN | US-6 - From 1.7 miles (Tomahawk Dr) W of SR 19 to 0.5 mile (Guiss St) W of SR 19 | Pavement Widening | $4,740,000 |
| INDIANA | ELKHART-GOSHEN | US 33 - From 0.19 miles S of US 20 to 1.466 miles S of US 20 bypass | New Construction | $10,667,479 |
| INDIANA | US 27 - From Ohio State Line to 3.58 miles N of Ohio State Line (Round Barn Rd) | Pavement Widening | $9,928,060 | |
| INDIANA | SR-26 - From 4.29 to 4.47 miles East of I-69 at CR 750 South. | Pavement Improvement | $1,648,000 | |
| INDIANA | SR 17 - Bridge over Starr Ditch , 1.77 miles S of SR 14 | Bridge Replacement | $601,816 | |
| INDIANA | US 40 - Bridge over White Lick Creek, 0.39 mile W of SR 267 | Pavement Improvement | $2,847,000 | |
| INDIANA | SR 54 - At CR 50S, 1.39 miles W of SR 159 | Pavement Improvement | $793,449 | |
| INDIANA | SR 356 - Over Town Creek, 0.34 miles E of SR 203 | Bridge Replacement | $627,953 | |
| INDIANA | From 0.35 mile E of Wabash River to 1.28 mile E of Wabash River | Pavement Improvement | $3,814,702 | |
| INDIANA | COLUMBUS | SR 11 - AT CR 450S | Pavement Improvement | $1,277,944 |
| INDIANA | SR 75, SIGHT DISTANCE CORRECTION, 2 MI S OF SR 26 AT CR 700N, CLINTON COUNTY, SR-29951 | Safety/Traffic Management | $1,206,808 | |
| INDIANA | SR 42, ROAD REPLACEMENT, FROM 0.15 MI E OF SR 39 TO 0.44 W OF SR 267, MORGAN COUNTY, SR-30865 | Pavement Improvement | $7,339,345 | |
| INDIANA | SR 8, SMALL STRUCTURE REPLACEMENT, OVER CANNON DITCH, 0.6 MI E OF S JCT WITH US 35, STARKE COUNTY, SR-29761 | Pavement Improvement | $388,634 | |
| INDIANA | SR 341 - Bridge over I-74, 0.87 miles N of US 136 | Bridge Improvement | $1,220,119 | |
| INDIANA | SR 331 - Over Madison Township Dtich, 8.2 miles S of US 33 | Pavement Improvement | $688,526 | |
| INDIANA | SR 250 - At Scott Ridge Road (CR 950E), 1.5 miles W of SR 129 | Safety/Traffic Management | $681,704 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US 41, INTERSECTION IMPROVEMENT, AT 93RD AVENUE, 1.9 MI N OF US 231, LAKE COUNTY, SR-26052 | Pavement Improvement | $2,083,425 |
| INDIANA | SR 19 - Over Fisher-Gordon Ditch, 2.7 miles N of US 6 | Pavement Improvement | $552,259 | |
| INDIANA | SR-11 - At E side of Elizabeth | Pavement Improvement | $300,000 | |
| INDIANA | SR-5 - Over Loon Creek, 3.2 miles South of US 224 | Pavement Improvement | $530,000 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | SR 312, BRIDGE REPLACEMENT, BRIDGE OVER S FORK OF INDIANA HARBOR CANAL, LAKE COUNTY, SB-29731 | Bridge Replacement | $2,153,447 |
| INDIANA | I-69, BRIDGE REPLACEMENT, AT US 20, STEUBEN COUNTY, SIR-30874 | Bridge Replacement | $1,994,588 | |
| INDIANA | SOUTH BEND (MI) | US 20 - Bridge (Over US 20) under Locust Rd, 0.99 mile E of SR 23 | Bridge Replacement | $3,054,834 |
| INDIANA | SR 49 - Bridge over Pleasant Township Ditch, 1.69 miles S of SR 8 | Bridge Replacement | $825,666 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | SR 49 NBL and SBL over US 30 and SR 2 | Bridge Improvement | $372,763 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | SR 49- Calumet Ave (Old 49) over SR 49, US 6 EB and WB over SR 49 | Bridge Improvement | $378,675 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | At 93rd Avenue | Safety/Traffic Management | $115,269 |
| INDIANA | SR 25 - At CR 575W and 500W | Pavement Widening | $1,452,695 | |
| INDIANA | SR 11 - From SR 250 to US 50 | Pavement Improvement | $934,500 | |
| INDIANA | SR 25, NEW BRIDGE CONSTRUCTION, OVER CR 900N (NB), SEGMENT 1-PHASE B, TIPPECANOE COUNTY, SIR-30843 | New Bridge Construction | $1,025,635 | |
| INDIANA | LAFAYETTE-WEST LAFAYETTE | US 52, NEW BRIDGE CONSTRUCTION, OVER NORFOLK SOUTHERN RR, 1.92 MI S OF SR 25 (S JCT), TIPPECANOE COUNTY, SB-28901 | New Bridge Construction | $6,163,016 |
| IOWA | In Clarinda From W. Of State St. E. To W. Jct. US 71 | Pavement Improvement | $848,817 | |
| IOWA | Ia. 2 From W. Jct. US 63 E. To E. Jct. US 63 | Pavement Improvement | $3,391,074 | |
| IOWA | OVER BIG SIOUX RIVER N. OF WESTFIELD | Bridge Replacement | $1,842,961 | |
| IOWA | IA 3 over Brooke Creek 6.1 Miles W. of US 71 | Bridge Replacement | $775,596 | |
| IOWA | From 0.5 Mile W. Of Calhoun Co. Line E. To US 169 | Pavement Improvement | $5,364,499 | |
| IOWA | From E. Of Reloc. Ia. 60 E. To W. Of E. Jct. Co. Rd. L-58 | Pavement Improvement | $4,865,289 | |
| IOWA | DES MOINES | Adventureland Drive NW: Phase 2 - .25 west of NW 34th Avenue west to Bass Pro Shop Drive, Grade and Pave | Pavement Improvement | $850,000 |
| IOWA | AMES | GW Carver Avenue: Stange Road to Bloomington Road, Pavement Rehab | Pavement Improvement | $856,913 |
| IOWA | AMES | Lincoln Way: Hickory Drive to 300' East of Marshall Ave., Pavement Rehab | Pavement Improvement | $665,053 |
| IOWA | AMES | Skunk River Trail: River Valley Park to Carr Pool, Trail Construction | Transportation Enhancements | $209,097 |
| IOWA | From Eldon N. to Old US 34 | Pavement Improvement | $1,837,373 | |
| IOWA | From Eldon E. To Selma | Pavement Improvement | $1,454,798 | |
| IOWA | From ECL New Hampton E. To W. Jct. Co. Rd. V-56 In Lawler | Pavement Improvement | $3,200,829 | |
| IOWA | From ECL Of Lawler E. To Co. Rd. V-68 In Jackson Jct. | Pavement Improvement | $2,566,288 | |
| IOWA | OVER PLUM CREEK 0.5 MILE S. CO. RD. J-24 (NBL/SBL) | Bridge Replacement | $2,173,992 | |
| IOWA | OVER COUNTY ROAD J-24 (NBL/SBL) | Bridge Replacement | $2,797,514 | |
| IOWA | FROM 1.5 MILE N. OF CO. RD. J-26 N. TO 1.5 MILE N. OF CO. RD. J-24(PCC OVERLAY NBL/HMA RESURFACE SBL) | Pavement Improvement | $11,189,757 | |
| IOWA | S.B & N.B. I-29 OVER SAINT MARYS CREEK 0.9 MI. S. OF IA 370 | Bridge Replacement | $1,726,111 | |
| IOWA | FROM 3 MILES N. OF N. JCT. US 34 N. TO POTTAWATTAMIE CO. LINE(PCC OVERLAY NBL/HMA RESURFACE SBL) | Pavement Improvement | $11,742,272 | |
| IOWA | From just south of Co. Rd. F-20 In Harrison Co. N. To just north of Ia. 175(NBL/SBL) | Pavement Improvement | $42,253,362 | |
| IOWA | I-29 From just north of Ia. 175 N. To Woodbury Co. Line (NBL and SBL) | Pavement Improvement | $22,401,042 | |
| IOWA | SOUTH BOUND OVER ROBINSON DITCH 3.1 MILES S. OF WOODBURY CO. LINE | Bridge Replacement | $1,169,819 | |
| IOWA | US 30 From E. Of Tama/Toledo E. To Benton Co. Line | Pavement Improvement | $4,065,922 | |
| IOWA | U.S. HIGHWAY 34 OVER INTERSTATE 35 | Bridge Replacement | $1,736,085 | |
| IOWA | From Decatur Co. Line N. To US 34(SBL) | Pavement Improvement | $15,304,219 | |
| IOWA | I-35 From Decatur Co. Line N. To US 34 (NBL) | Pavement Improvement | $15,646,032 | |
| IOWA | US 34 INTERCHANGE W. OF OSCEOLA | Bridge Replacement | $1,626,415 | |
| IOWA | From Clarke Co. Line N. To 2 MI. S. of IA 92 near Clanton Creek (NBL/SBL) | Pavement Improvement | $18,607,987 | |
| IOWA | US 52 From Just S. Of NCL Garnavillo N. to Just S. of IA 13 | Pavement Improvement | $5,204,631 | |
| IOWA | US 52 From Just S. Of NCL Guttenberg N. to Just N. of SCL Garnavillo | Pavement Improvement | $4,393,194 | |
| IOWA | DAVENPORT-ROCK ISLAND-MOLINE (IL) | 23rd Street : from Grant St (US 67) to Central Ave, Pavement Rehab | Pavement Improvement | $739,272 |
| IOWA | AT ONE LOCATION ON US 61 (FORT MADISON BY-PASS) JUST N. OF IA. 2 INTERCHANGE | New Construction | $126,319 | |
| IOWA | FORT MADISON BY-PASS FROM IA 2 NE TO S. OF CHALK RIDGE RD | New Construction | $8,245,240 | |
| IOWA | AT ONE LOCATION ON U.S. 61 (FORT MADISON BY-PASS) AT CO. RD. J-40 INTERCHANGE | New Construction | $549,102 | |
| IOWA | FORT MADISON BY-PASS FROM CO. RD. J-40 E. TO JUST E. OF CO RD X-32 | New Construction | $4,912,339 | |
| IOWA | AT ONE LOCATION ON CO. RD. X-32 JUST N. OF INTERCHANGE OF CO. RD. X-32 AND U.S. 61 (FORT MADISON BY-PASS) | New Construction | $251,777 | |
| IOWA | AT ONE LOCATION ON US 61 (FORT MADISON BY-PASS) JUST S. OF BLUFF ROAD | New Construction | $299,530 | |
| IOWA | US 63 From Just S. Of 210th St. N. To ECL Of New Sharon | Pavement Improvement | $7,406,627 | |
| IOWA | From Just N. Of I-35 N. To SCL Of Osceola | Pavement Improvement | $5,037,811 | |
| IOWA | DES MOINES | US 69: IA 160 to 1st Street, Pavement Rehab | Pavement Improvement | $1,000,000 |
| IOWA | From E. Jct. Ia. 2 In Clarinda N. To US 34 | Pavement Improvement | $6,189,082 | |
| IOWA | From 1 Mile N. Of Carroll N. To E. Jct. Ia. 175 In Auburn | Pavement Improvement | $1,423,249 | |
| IOWA | 2nd St: Multi-Use Path along 2nd St, Trail Construction | Transportation Enhancements | $405,000 | |
| IOWA | IA 92 OVER KEG CREEK 2.7 MI W OF TREYNOR | Bridge Replacement | $1,142,159 | |
| IOWA | IA 92 OVER MIDDLE SILVER CREEK 0.1 MI. W. OF TREYNOR | Bridge Replacement | $1,279,850 | |
| IOWA | Mt. Pleasant Street: US Highway 61 to Osborn Street, Pavement Rehab | Pavement Improvement | $1,312,323 | |
| IOWA | River Road: Co./City to 0.9, Pavement Rehab | Pavement Improvement | $180,000 | |
| IOWA | From W. of Woodbury Co. Line SE to 6 km W. of Mapleton(Snow Borrow) | Pavement Improvement | $2,271,717 | |
| IOWA | OVER BEAR CREEK 3.3 MI. SOUTH OF INDEPENDENCE | Bridge Replacement | $983,635 | |
| IOWA | DES MOINES | 75th St: 75th St to Hwy 163, Traffic Signals | Safety/Traffic Management | $750,000 |
| IOWA | OMAHA (NE)-IA | East College Road: US-6 to Valley View Drive, Grade and Pave, Widening | Pavement Improvement | $2,300,000 |
| IOWA | OMAHA (NE)-IA | 35th Street: 23rd Avenue to Nebraska Avenue, Pave | Pavement Improvement | $475,206 |
| IOWA | Mid CIty Trail: Avenue A to Avenue G, Trail Construction | Transportation Enhancements | $200,000 | |
| IOWA | US 169 From Mt. Ayr N. To Union Co. Line | Pavement Improvement | $4,382,345 | |
| IOWA | US 169 From Ringgold Co. Line N. To Afton | Pavement Improvement | $3,373,398 | |
| IOWA | E. Prairie Street: Cherry Street E 0 MI to Mulberry Street, Pavement Rehab | Pavement Improvement | $62,778 | |
| IOWA | DAVENPORT-ROCK ISLAND-MOLINE (IL) | 5 Streets: Jersey Ridge, Rockingham, Division, NW Blvd, Locust, Pavement Rehab | Pavement Improvement | $1,183,107 |
| IOWA | DAVENPORT-ROCK ISLAND-MOLINE (IL) | 53rd/Pine Sts: Pine-53rd to NW Blvd 53rd at Eastern Ave, Patching | Pavement Improvement | $800,000 |
| IOWA | 11th Street: from 6th Avenue to Humstead Rd, Pavement Rehab | Pavement Improvement | $201,885 | |
| IOWA | DES MOINES | 6th Avenue: University to DM River Bridge, Pavement Rehab | Pavement Improvement | $600,000 |
| IOWA | DES MOINES | Fleur Drive / Blue Street: Beardsley Street to SW 9th Street, Pavement Rehab | Pavement Improvement | $611,000 |
| IOWA | DES MOINES | McKinley: South Union Street to Fleur Drive, Pavement Rehab | Pavement Improvement | $354,850 |
| IOWA | DES MOINES | SE 5th Street: Army Post Road to County Line Road, Pavement Rehab | Pavement Improvement | $580,000 |
| IOWA | DES MOINES | E. McKinley Ave : South Union St to SE 5th St, Pavement Rehab/Widen | Pavement Improvement | $1,400,000 |
| IOWA | DES MOINES | Riverwalk: West side of Des Moines River, Trail Construction & Bridge | Transportation Enhancements | $2,500,018 |
| IOWA | OVER PRATT CREEK 0.7 MILE S. OF US 8 | Bridge Replacement | $1,048,906 | |
| IOWA | Kirkwood Ave: 5th Street to 2nd Street, Pavement Rehab | Pavement Improvement | $344,000 | |
| IOWA | 61: Intersection of US Highway 61 and 48th Street, Pavement Rehab/Widen, Traffic Signals | Other | $72,800 | |
| IOWA | DES MOINES | S JAMES ST: South 6th Avenue to NW 54th Ave, Pavement Rehab, Trail Construction | Pavement Improvement | $1,000,000 |
| IOWA | 1st Ave & 8th Ave: West Street to UPRR & West Street to Park Street, Pave | Pavement Improvement | $196,400 | |
| IOWA | Morehead: 2nd Ave to Hwy 59, Patching | Pavement Improvement | $200,000 | |
| IOWA | N Y St: Hwy 92 to W Euclid Ave, Pave | Pavement Improvement | $494,331 | |
| IOWA | IOWA CITY | S. Riverside Dr: Highway 6 to City Limits, Pavement Rehab | Pavement Improvement | $600,000 |
| IOWA | Godfrey Lane: E Pleasant St to T15, Pavement Rehab | Pavement Improvement | $296,950 | |
| IOWA | Main Street: At the entrance to Horseshoe Park and from Grove St to Quarry St, Pavement Rehab | Pavement Improvement | $244,514 | |
| IOWA | Iowa Avenue: 6th Street to West Corp Limits, Pave | Pavement Improvement | $548,004 | |
| IOWA | CLAY ST: Isett Avenue to Park Avenue, Pavement Rehab | Pavement Improvement | $733,544 | |
| IOWA | S14: Hwy 30 to 1st Street, Pavement Rehab | Pavement Improvement | $245,333 | |
| IOWA | Newton Stimulus: Various locations on federal-aid routes, Pavement Rehab | Pavement Improvement | $620,472 | |
| IOWA | Lake Road: Mary Street to City Limits, Pavement Rehab | Pavement Improvement | $632,498 | |
| IOWA | Madison Ave: Vine Street to Mary Street, Pavement Rehab | Pavement Improvement | $390,447 | |
| IOWA | OSKALOOSA ST: Starts at Independence Street, south to Oskaloosa Street, east to SE 9th Street, Pavement Rehab | Other | $43,000 | |
| IOWA | 18th St., 16th St., and Park St.: Various, Pavement Rehab | Pavement Improvement | $295,499 | |
| IOWA | WATERLOO | Dubuque Rd.: West City Limit to East City Limit, Pavement Rehab | Pavement Improvement | $694,000 |
| IOWA | K45: 1st Street to rec. complex, Grade and Pave | Pavement Improvement | $594,640 | |
| IOWA | SIOUX CITY (NE-SD) | 2nd Ave SW & 3rd St NE: On 2nd Ave SW from 4th St. SW to 3rd St NW and on 3rd St NE from 1st Ave NE to 4th Ave NE, Pavement Rehab | Pavement Improvement | $340,000 |
| IOWA | SIOUX CITY (NE-SD) | South Martha: Gordon Dr to Stone Ave, Grade and Pave | Pavement Improvement | $792,853 |
| IOWA | SIOUX CITY (NE-SD) | 3rd, 5th, Iowa: 3rd St (Water to Jackson), 5th St (1/2 Block west of Douglas and Jones to Floyd Blvd), Iowa St. (5th to 6th), Pavement Rehab | Pavement Improvement | $439,000 |
| IOWA | WATERLOO | Broadway, LaPorte, San Marnan: Various locations, Pavement Rehab | Pavement Improvement | $1,517,000 |
| IOWA | DES MOINES | 73rd St: Center St to Hickman Rd, Pavement Rehab | Pavement Improvement | $538,000 |
| IOWA | 280th Street: South edge of Bridgewater E 0.52 MI to Nodaway Bridge, Bridge Replacement | Bridge Replacement | $312,195 | |
| IOWA | N26: US Highway 34 to Town of Nodaway, Pavement Rehab | Pavement Improvement | $217,179 | |
| IOWA | Mystic Rd T14: 27-69-18 to 16-69-18, Pavement Rehab | Pavement Improvement | $581,000 | |
| IOWA | J18: Rathbun Lake Multi-Use Trail-Culvert Extension at Highway J18 and Ham Creek, Trail Construction | Transportation Enhancements | $150,000 | |
| IOWA | D-65: US Hwy 218 to Co Route V61, Pavement Rehab | Pavement Improvement | $888,727 | |
| IOWA | V49 Gilb'vil to Raymond: D38 to D22, Pavement Rehab | Pavement Improvement | $841,000 | |
| IOWA | R-21: 190th Street to Ridgeport, Pavement Rehab | Pavement Improvement | $558,263 | |
| IOWA | C-33: V-14 (Euclid Av) E 3.5 MI to V-21 (Ivory Av), Pavement Rehab | Pavement Improvement | $650,000 | |
| IOWA | D-22: Independence to Jesup, Pavement Rehab/Widen | Pavement Improvement | $1,730,000 | |
| IOWA | E. Mil: Geisinger Road to US Hwy 71, Pavement Rehab | Pavement Improvement | $620,000 | |
| IOWA | D15: D15/190th St. from Sac County line to Ia HWY 4, Pavement Rehab | Pavement Improvement | $2,000,000 | |
| IOWA | N41: JCT OF US 30 AT GLIDDEN to LANESBORO, Pavement Rehab | Pavement Improvement | $1,000,000 | |
| IOWA | Sauk Rail Trail: Sauk Rail Trail Paving - Maple River to Carnarvon, Trail Construction | Transportation Enhancements | $1,000,000 | |
| IOWA | G-35: Jct. N-28 to Jct. Hwy 148, Pavement Rehab | Pavement Improvement | $1,500,000 | |
| IOWA | Y-26: Durant City Limits to F44 (290th St.), Pavement Rehab | Pavement Improvement | $773,396 | |
| IOWA | B-30: Mason City city limits to Floyd Co. Line, Pavement Rehab | Pavement Improvement | $850,000 | |
| IOWA | M-25: South Cty Line N 3 MI to 630th St (C65), Pave | Pavement Improvement | $500,000 | |
| IOWA | H-45, ELK STREET: N.E. COR. SEC. 11 OF KNOX TWP., THEN S. 1 MILE, Pavement Rehab | Pavement Improvement | $748,000 | |
| IOWA | Z2E: Charlotte to E-63, Pavement Rehab | Pavement Improvement | $524,593 | |
| IOWA | M-55 & E-53: Hwy. #141 @ Manilla to Donna Reed Rd., Pavement Rehab | Pavement Improvement | $1,200,000 | |
| IOWA | R-16 : Highway 6 to Dallas Center, Pavement Rehab | Pavement Improvement | $726,674 | |
| IOWA | J14: I35 to US 69, Pavement Rehab | Pavement Improvement | $368,000 | |
| IOWA | D47: Pheasant Road West to Pheasant Road East, Pavement Rehab | Pavement Improvement | $525,953 | |
| IOWA | M-27: NEAR STATE HIGHWAY #9 S 4.2 MI to NW COR. 27-99-38, Pavement Rehab | Pavement Improvement | $1,417,702 | |
| IOWA | N-22: MN border to A17, Pavement Rehab | Pavement Improvement | $640,000 | |
| IOWA | A22: 340th Ave to Hwy 9, Pavement Rehab | Pavement Improvement | $787,000 | |
| IOWA | V-68: US #18 to Winneshiek Co. line, Pave & Pavement Rehab/Widen | Pavement Improvement | $1,920,000 | |
| IOWA | B60: Cerro Gordo County Line to Marble Rock City Limits, Pavement Rehab | Pavement Improvement | $1,175,115 | |
| IOWA | S56: Highway 3 to 155th Street, Pavement Widening | Pavement Improvement | $300,000 | |
| IOWA | T19: Wellsburg North to the bridge over the South Fork Beaver Crk, Pavement Rehab/Widen | Pavement Improvement | $530,000 | |
| IOWA | Raccoon River Valley Trail: Raccoon River Valley Trail Rehabilitation, Trail Construction | Transportation Enhancements | $945,400 | |
| IOWA | R-27: Near Center Sec. 1-89-26 OVER BOONE RIVER, Bridge Replacement | Bridge Replacement | $600,000 | |
| IOWA | B-20: Oak Avenue (R-44) East 3.5 miles to U.S. 69, Pavement Rehab/Widen | Pavement Improvement | $385,000 | |
| IOWA | S56: IA 175 to D35, Pave | Pavement Improvement | $699,400 | |
| IOWA | F32: HIGHWAY #30 to TOLEDO AVENUE, Pavement Rehab | Pavement Improvement | $1,020,000 | |
| IOWA | J-20: Salem to Hillsboro, Pavement Rehab | Pavement Improvement | $1,138,000 | |
| IOWA | V-26: 22-99-13 to 34-100-13, Pavement Rehab | Pavement Improvement | $960,000 | |
| IOWA | M-15: M-25 West to Jasper Avenue, Pavement Rehab | Pavement Improvement | $500,000 | |
| IOWA | F-67: 325th St (F67) HMA Resurface w CIPR & H Ave (V52) subdrain, Pavement Rehab | Pavement Improvement | $773,396 | |
| IOWA | Y-53: Maquoketa to US 61, Pavement Rehab | Pavement Improvement | $167,439 | |
| IOWA | D-55: LaMotte to Hwy 61, Pavement Rehab | Pavement Improvement | $400,000 | |
| IOWA | T38: I 80 south approximately 13 miles to The Mahaska County Line, Pavement Rehab | Pavement Improvement | $850,142 | |
| IOWA | W66: West Overlook Rd. to 275th Street, Trail Construction | Transportation Enhancements | $252,000 | |
| IOWA | E-34: Near Intersection Quaker Lane (NW Cor SE 1/4 NW 1/4 Sec 13-T84N-R5W) to Intersection Main Street in Fairview, Pavement Rehab | Pavement Improvement | $863,137 | |
| IOWA | Co Rd V5G: State Highway 149 to County Road V67, Pavement Rehab, Culvert Replacement | Pavement Improvement | $380,278 | |
| IOWA | R-14: US 18 to B-14, Pavement Rehab | Pavement Improvement | $1,391,000 | |
| IOWA | W45: Central City Road to 2.6 miles north, Pave | Pavement Improvement | $962,000 | |
| IOWA | X99: Wapello to South CL, Pavement Rehab | Pavement Improvement | $1,300,000 | |
| IOWA | 475th Lane: US Highway 34 NW 1.02 MI to 150' west of 6th Street, Pavement Rehab/Widen | Pavement Improvement | $399,000 | |
| IOWA | FAS: PAVEMENT RESURFACING/REHAB ON FAS ROUTES P53 AND G4R, Pavement Rehab | Pavement Improvement | $569,170 | |
| IOWA | Osburn Ave/35th St.: Hwy 23 to Hwy 92, Pave | Pavement Improvement | $809,504 | |
| IOWA | G-71: HWY 5 to Bussey, Pavement Rehab | Pavement Improvement | $314,043 | |
| IOWA | G-76: S-45 to D/W line, Pavement Rehab/Widen | Pavement Improvement | $311,651 | |
| IOWA | E-67: NW COR 32-82-17 to GILMAN, Pave | Pavement Improvement | $696,000 | |
| IOWA | A23: NW Cor Sec 35-100-15 to NE Cor Sec 36-100-15, Pavement Rehab | Pavement Improvement | $400,000 | |
| IOWA | E60: Sec. 19-82-44 to JCT L14, Grading | Pavement Improvement | $500,000 | |
| IOWA | H35: Albia WCL W 1.6 MI, Pavement Rehab/Widen | Pavement Improvement | $624,000 | |
| IOWA | F-70: Moscow Road X54 to State Hwy 38, Pavement Rehab | Pavement Improvement | $733,544 | |
| IOWA | N20: Ruthven North limits to 355th Avenue, Pavement Rehab/Widen | Pavement Improvement | $659,874 | |
| IOWA | C-12: Craig to K22, Pave | Pavement Improvement | $375,000 | |
| IOWA | K-30: C-12 to N 1 MILE, Grading | Pavement Improvement | $125,000 | |
| IOWA | DES MOINES | NW/NE 118 Ave: Polk City Limits to NE 14 St, Pavement Rehab | Pavement Improvement | $1,950,000 |
| IOWA | NW 110 Ave/NE 42 St: NW 110 Ave from West County Line to NW 121 St and NE 42 St from NE 150 Ave to NE 166 Ave, Pavement Rehab | Pavement Improvement | $418,779 | |
| IOWA | F62: Jasper County Line to IA 146, Pave | Pavement Improvement | $619,700 | |
| IOWA | P64: Over BRANCH OF LOTTS CREEK, Bridge Replacement | Bridge Replacement | $296,926 | |
| IOWA | DAVENPORT-ROCK ISLAND-MOLINE (IL) | Y-48: IA 22 to F65, Pavement Rehab | Pavement Improvement | $2,100,000 |
| IOWA | F33: Over Tributary of Mud Creek, Bridge Replacement | Bridge Replacement | $250,000 | |
| IOWA | Y-40: Dixon S 1.5 MI, Culvert Replacement | New Bridge Construction | $125,572 | |
| IOWA | F58: MAPLE RD to M47, Pavement Rehab | Pavement Improvement | $1,400,000 | |
| IOWA | L-14: Boyden / Hwy 18 N 5 MI to Lyon County Line, Pavement Rehab | Pavement Improvement | $1,200,000 | |
| IOWA | Harrison Ave.: SE of Maurice, IA, Bridge Replacement | Bridge Replacement | $249,000 | |
| IOWA | E29: US 65 to Marshall Co. Line, Pavement Rehab | Pavement Improvement | $858,307 | |
| IOWA | E-69 & T-47: US 63 to 146 and 2 miles N of E69, Pave | Pavement Improvement | $930,900 | |
| IOWA | P-33: H-17 to Adair Co. Line, Pavement Rehab | Pavement Improvement | $437,751 | |
| IOWA | V-64: St. Hwy 16 No. to Jefferson Co. Line, Pavement Rehab | Pavement Improvement | $320,993 | |
| IOWA | H21, J12, H31, V17: H21 Blackhawk north, J12 65th St to 110th Ave, H31 100th St to V37, V17 CL to 30th St, Pavement Rehab | Pavement Improvement | $375,619 | |
| IOWA | S23 Highway: G24 Highway to IA Hwy 5, Pave | Pavement Improvement | $576,146 | |
| IOWA | W64: HWY 22 to 170th, Pavement Rehab/Widen | Pavement Improvement | $732,691 | |
| IOWA | County Road C66: County Road C66 Over North Lizard Creek, Bridge Rehab & Widen | Bridge Improvement | $350,000 | |
| IOWA | R-60: Hwy 69 to Corporate limits of Scarville, Pavement Rehab | Pavement Improvement | $475,000 | |
| IOWA | V68: St. Hwy 24 to Fayette County Line, Pavement Rehab/Widen | Pavement Improvement | $664,000 | |
| IOWA | Correctionville Road: Sioux City - City Limits to Sioux City Urban Limits, Pave | Pavement Improvement | $432,000 | |
| IOWA | L-37: D-38 to Danbury, Pavement Rehab | Pavement Improvement | $500,000 | |
| IOWA | 410th St Over Shell Rock River | Bridge Improvement | $120,130 | |
| IOWA | 495th ST Over Shell Rock River | Bridge Improvement | $120,030 | |
| KANSAS | WICHITA | RECONSTRUCT INTERCHANGE (CONCEPT STUDY OF KA-1006-01) | Pavement Widening | $19,936,000 |
| KANSAS | K-18 FROM WALNUT ST IN OGDEN NE TO K-113/SETH CHILD RD | Other | $12,000,000 | |
| KANSAS | K-23 FROM THE LANE/GOVE CO LN N 8 MI | Pavement Improvement | $3,823,789 | |
| KANSAS | K-23 FROM 8 MI N OF LANE/GOVE CO LN N TO .45 MI S OF GOVE CITY LIMITS | Pavement Improvement | $4,500,750 | |
| KANSAS | RS-164 FROM K-15 S 6.5 MI | Pavement Improvement | $877,500 | |
| KANSAS | KANSAS CITY (MO) | 143RD ST OVER CAPTAIN CR 1.1 MI W & 7 MI N OF EDGERTON | Bridge Replacement | $846,000 |
| KANSAS | KANSAS CITY (MO) | RS-384 OVER STRANGER CR 1.4 MI E OF JARBALO | Bridge Replacement | $460,000 |
| KANSAS | 2.6 MI OF RS-916 & RS-1729 S OF WOODSTON | Pavement Improvement | $310,000 | |
| KANSAS | 1600 RD (RS-1389) OVER THOMAS CR 4 MI S & 1.7 MI E OF HARRIS | Bridge Improvement | $70,000 | |
| KANSAS | SEDAN: INDEPENDENCE RD (RS-97) EAST 3.5 MI | Pavement Improvement | $534,607 | |
| KANSAS | JOHN BROWN RD (RS-1066/259) BETWEEN KENTUCKY RD TO FLORIDA RD IN FRANKLIN CO | Pavement Improvement | $504,000 | |
| KANSAS | RS-291 FROM HAMILTON TO VIRGIL | Pavement Improvement | $490,000 | |
| KANSAS | KANSAS ST FROM US-160 TO 6TH ST IN LONGTON | Pavement Improvement | $159,000 | |
| KANSAS | S OF GLEN ELDER RS 466 & RS 1029 THEN N 3 MI | Pavement Improvement | $465,350 | |
| KANSAS | FAS 1898 2 MI W OF K-95, THEN 2 MI | Pavement Improvement | $495,000 |
Source: FDIC


hunch_net hunch_net-2008 hunch_net-2008-283 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
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same-blog 1 1.0 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
2 0.22502522 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
3 0.22381079 268 hunch net-2007-10-19-Second Annual Reinforcement Learning Competition
Introduction: The Second Annual Reinforcement Learning Competition is about to get started. The aim of the competition is to facilitate direct comparisons between various learning methods on important and realistic domains. This yearâ€™s event will feature well-known benchmark domains as well as more challenging problems of real-world complexity, such as helicopter control and robot soccer keepaway. The competition begins on November 1st, 2007 when training software is released. Results must be submitted by July 1st, 2008. The competition will culminate in an event at ICML-08 in Helsinki, Finland, at which the winners will be announced. For more information, visit the competition website.
4 0.22253047 326 hunch net-2008-11-11-COLT CFP
Introduction: Adam Klivans , points out the COLT call for papers . The important points are: Due Feb 13. Montreal, June 18-21. This year, there is author feedback.
5 0.20367046 17 hunch net-2005-02-10-Conferences, Dates, Locations
Introduction: Conference Locate Date COLT Bertinoro, Italy June 27-30 AAAI Pittsburgh, PA, USA July 9-13 UAI Edinburgh, Scotland July 26-29 IJCAI Edinburgh, Scotland July 30 â€“ August 5 ICML Bonn, Germany August 7-11 KDD Chicago, IL, USA August 21-24 The big winner this year is Europe. This is partly a coincidence, and partly due to the general internationalization of science over the last few years. With cuts to basic science in the US and increased hassle for visitors, conferences outside the US become more attractive. Europe and Australia/New Zealand are the immediate winners because they have the science, infrastructure, and english in place. China and India are possible future winners.
6 0.17451827 452 hunch net-2012-01-04-Why ICML? and the summer conferences
7 0.15621099 470 hunch net-2012-07-17-MUCMD and BayLearn
8 0.1515635 66 hunch net-2005-05-03-Conference attendance is mandatory
9 0.14606953 422 hunch net-2011-01-16-2011 Summer Conference Deadline Season
10 0.11368788 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
11 0.10916367 285 hunch net-2008-01-23-Why Workshop?
12 0.10753109 387 hunch net-2010-01-19-Deadline Season, 2010
13 0.095974162 324 hunch net-2008-11-09-A Healthy COLT
14 0.091079868 92 hunch net-2005-07-11-AAAI blog
15 0.088314936 11 hunch net-2005-02-02-Paper Deadlines
16 0.086331785 174 hunch net-2006-04-27-Conferences, Workshops, and Tutorials
17 0.084837817 467 hunch net-2012-06-15-Normal Deviate and the UCSC Machine Learning Summer School
18 0.082840167 130 hunch net-2005-11-16-MLSS 2006
19 0.077314526 71 hunch net-2005-05-14-NIPS
20 0.075095825 357 hunch net-2009-05-30-Many ways to Learn this summer
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same-blog 1 0.98489285 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
2 0.8570258 17 hunch net-2005-02-10-Conferences, Dates, Locations
Introduction: Conference Locate Date COLT Bertinoro, Italy June 27-30 AAAI Pittsburgh, PA, USA July 9-13 UAI Edinburgh, Scotland July 26-29 IJCAI Edinburgh, Scotland July 30 â€“ August 5 ICML Bonn, Germany August 7-11 KDD Chicago, IL, USA August 21-24 The big winner this year is Europe. This is partly a coincidence, and partly due to the general internationalization of science over the last few years. With cuts to basic science in the US and increased hassle for visitors, conferences outside the US become more attractive. Europe and Australia/New Zealand are the immediate winners because they have the science, infrastructure, and english in place. China and India are possible future winners.
3 0.71712148 66 hunch net-2005-05-03-Conference attendance is mandatory
Introduction: For anyone planning to do research, conference attendance is virtually mandatory for success. Aside from exposing yourself to a large collection of different ideas, many interesting conversations leading to new research happen at conferences. If you are a student, you should plan to go to at least one summer conference. Your advisor should cover the costs. Conference Location Early Registration deadline normal/student cost in US dollars AAAI Pittsburgh, PA, USA May 13 590/170 IJCAI Edinburgh, Scotland May 21 663/351 COLT Bertinoro, Italy May 30 256/178 KDD Chicago, IL, USA July 15 590/260 ICML Bonn, Germany July 1 448 UAI Edinburgh, Scotland not ready yet ???
4 0.70123088 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
5 0.65042365 422 hunch net-2011-01-16-2011 Summer Conference Deadline Season
Introduction: Machine learning always welcomes the new year with paper deadlines for summer conferences. This year, we have: Conference Paper Deadline When/Where Double blind? Author Feedback? Notes ICML February 1 June 28-July 2, Bellevue, Washington, USA Y Y Weak colocation with ACL COLT February 11 July 9-July 11, Budapest, Hungary N N colocated with FOCM KDD February 11/18 August 21-24, San Diego, California, USA N N UAI March 18 July 14-17, Barcelona, Spain Y N The larger conferences are on the west coast in the United States, while the smaller ones are in Europe.
6 0.64125949 184 hunch net-2006-06-15-IJCAI is out of season
7 0.56626087 470 hunch net-2012-07-17-MUCMD and BayLearn
8 0.51905352 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
9 0.51834685 268 hunch net-2007-10-19-Second Annual Reinforcement Learning Competition
10 0.41638079 387 hunch net-2010-01-19-Deadline Season, 2010
11 0.40653864 452 hunch net-2012-01-04-Why ICML? and the summer conferences
12 0.40453702 326 hunch net-2008-11-11-COLT CFP
13 0.39044288 467 hunch net-2012-06-15-Normal Deviate and the UCSC Machine Learning Summer School
14 0.38083079 331 hunch net-2008-12-12-Summer Conferences
15 0.373914 11 hunch net-2005-02-02-Paper Deadlines
16 0.3632338 4 hunch net-2005-01-26-Summer Schools
17 0.33022895 357 hunch net-2009-05-30-Many ways to Learn this summer
18 0.32635847 92 hunch net-2005-07-11-AAAI blog
19 0.28664148 71 hunch net-2005-05-14-NIPS
20 0.28497511 130 hunch net-2005-11-16-MLSS 2006
topicId topicWeight
[(53, 0.191), (55, 0.063), (75, 0.514)]
simIndex simValue blogId blogTitle
1 0.98922592 92 hunch net-2005-07-11-AAAI blog
Introduction: The AAAI conference is running a student blog which looks like a fun experiment.
same-blog 2 0.95536292 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
3 0.40536407 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
4 0.34113809 107 hunch net-2005-09-05-Site Update
Introduction: I tweaked the site in a number of ways today, including: Updating to WordPress 1.5. Installing and heavily tweaking the Geekniche theme. Update: I switched back to a tweaked version of the old theme. Adding the Customizable Post Listings plugin. Installing the StatTraq plugin. Updating some of the links. I particularly recommend looking at the computer research policy blog. Adding threaded comments . This doesn’t thread old comments obviously, but the extra structure may be helpful for new ones. Overall, I think this is an improvement, and it addresses a few of my earlier problems . If you have any difficulties or anything seems “not quite right”, please speak up. A few other tweaks to the site may happen in the near future.
5 0.33093628 16 hunch net-2005-02-09-Intuitions from applied learning
Introduction: Since learning is far from an exact science, it’s good to pay attention to basic intuitions of applied learning. Here are a few I’ve collected. Integration In Bayesian learning, the posterior is computed by an integral, and the optimal thing to do is to predict according to this integral. This phenomena seems to be far more general. Bagging, Boosting, SVMs, and Neural Networks all take advantage of this idea to some extent. The phenomena is more general: you can average over many different classification predictors to improve performance. Sources: Zoubin , Caruana Differentiation Different pieces of an average should differentiate to achieve good performance by different methods. This is know as the ‘symmetry breaking’ problem for neural networks, and it’s why weights are initialized randomly. Boosting explicitly attempts to achieve good differentiation by creating new, different, learning problems. Sources: Yann LeCun , Phil Long Deep Representation Ha
6 0.32712588 56 hunch net-2005-04-14-Families of Learning Theory Statements
7 0.31739056 91 hunch net-2005-07-10-Thinking the Unthought
8 0.31643614 2 hunch net-2005-01-24-Holy grails of machine learning?
9 0.30814847 367 hunch net-2009-08-16-Centmail comments
10 0.27695179 6 hunch net-2005-01-27-Learning Complete Problems
11 0.25503761 21 hunch net-2005-02-17-Learning Research Programs
12 0.24700131 17 hunch net-2005-02-10-Conferences, Dates, Locations
13 0.2381027 66 hunch net-2005-05-03-Conference attendance is mandatory
14 0.2367025 292 hunch net-2008-03-15-COLT Open Problems
15 0.21835628 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
16 0.21582422 151 hunch net-2006-01-25-1 year
17 0.21365163 265 hunch net-2007-10-14-NIPS workshp: Learning Problem Design
18 0.21336493 305 hunch net-2008-06-30-ICML has a comment system
19 0.2037349 331 hunch net-2008-12-12-Summer Conferences
20 0.20337887 141 hunch net-2005-12-17-Workshops as Franchise Conferences


At QUALITANCE we work with both world's top Fortune 500 companies as well as the most innovative and agile startups to help them rapidly design, build, test and run everything software - from large enterprise solutions to highly-scalable web and mobile consumer facing products - at greater quality and higher speed.


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{% extends "_base.html" %} {% block content %}
There is no user associated with that email address.
Email {% if errors.get('email') %} Please enter a valid email. {% end %}


---
layout: default
title: "Talks"
---
Apparently, I couldn't.
{{ site.talks[0].date | date: '%Y' }}
{% for talk in site.talks %}
{% unless talk.next %}
{% else %}
{% capture year %}{{ talk.date | date: '%Y' }}{% endcapture %}
{% capture nyear %}{{ talk.next.date | date: '%Y' }}{% endcapture %}
{% if year != nyear %}
{{ talk.date | date: '%Y' }}
{% endif %}
{% endunless %}
{% else %}
I should share something good to others...


|
Name
|
Type
|
Description
|
| callCount | xsd:long |
Number of API invocations since the session started
Since vSphere API 5.1
|
| extensionSession | xsd:boolean |
Whether or not this session belongs to a VC Extension.
Since vSphere API 5.0
|
| fullName | xsd:string |
The full name of the user, if available.
|
| ipAddress | xsd:string |
The client identity. It could be IP address, or pipe name depended
on client binding
Since vSphere API 5.1
|
| key | xsd:string |
A unique identifier for this session,
also known as the session ID.
|
| lastActiveTime | xsd:dateTime |
Timestamp when the user last executed a command.
|
| locale | xsd:string |
The locale for the session used for data formatting and preferred for messages.
|
| loginTime | xsd:dateTime |
Timestamp when the user last logged on to the server.
|
| messageLocale | xsd:string |
The locale used for messages for the session.
If there are no localized messages for the user-specified locale, then
the server determines this locale.
|
| userAgent | xsd:string |
The name of user agent or application
Since vSphere API 5.1
|
| userName | xsd:string |
The user name represented by this session.
|
|
Properties inherited from DynamicData |
| None |


The purpose of this theme is not to illustrate web design but to show how you might approach building a mkpage based website with only three page types. The theme itself is driven by three Go templates, CSS, an embeddable SVG image asset and some markdown content. Site navigation, like page content, is built using Markdown. Site navigation is defined in nav.md and results in a simple one level UL element embedded inside the NAV element of the templated pages.
This theme supports three page types.
Navigation is controlled through a nav.md file included into each template (i.e. files ending in .tmpl).
The following template variables (replaceable content) are used in the page templates.
Three, small, flexible


Wiki Board - Collection of Technical Wiki Snippets
|
SearchType
|
Add/Edit a technical wiki snippet
Title
Note


RetrieveTransactionsParameters
public struct RetrieveTransactionsParameters: JSONObjectConvertible
Parameters for RETRIEVE TRANSACTIONS endpoints
Note
The default number for the limit parameter is 1000
Parameter
Parameter accounts: optional If retrieving the transactions for all accounts, filter the transactions to be only from these accounts
Parameter
Parameter since: optional This parameter can either be a transaction ID or an ISO date.
transaction ID
the transactions which are newer than the referenced transaction will be returned in the response. The exact meaning of newer depends on the value of since_type
ISO date
the transactions which were booked on or after this date will be returned in the response
Parameter
Parameter sinceType: optional This parameter defines how the parameter since will be interpreted.
booked (default)
the value of the parameter since will be compared to the booking date of the transaction.
created
the value of the parameter since will be compared to the creation time of the transaction on the figo Connect server
modified
the value of the parameter since will be compared to the last modification time of the transaction on the figo Connect server. The response parameter transactions will contain not only newly created transactions but also modified transactions. The response parameter deleted will contain a list of removed transactions.
Parameter
Parameter until: optional Return only transactions which were booked on or before this date. Please provide as ISO date
Parameter
Parameter filter: optional Filter expression to narrow down the returned transactions
Parameter
Parameter count: optional Limit the number of returned transactions. In combination with the offset parameter this can be used to paginate the result list. (default: 1000)
Parameter
Parameter offset: optional Offset into the implicit list of transactions used as starting point for the returned transactions. In combination with the count parameter this can be used to paginate the result list.
Parameter
Parameter includePending: optional This flag indicates whether pending transactions should be included in the response. Pending transactions are always included as a complete set, regardless of the since parameter. Before caching a copy of the pending transactions, all existing pending transactions for the same account must be removed from the local cache. (default: false)
Parameter
Parameter includeStatistics: optional This flag indicates whether statistics over the filtered transaction list should returned alongside the actual transactions. These statistics are always computed on the complete filtered transaction list, i.e. without count and offset. (default: false)
Parameter
Parameter type: optional A list of transactions types which the transactions are filtered by.
-
optional** If retrieving the transactions for all accounts, filter the transactions to be only from these accounts
Declaration
Swift
public var accounts: [String]?
-
optional This parameter can either be a transaction ID or an ISO date.
transaction ID
the transactions which are newer than the referenced transaction will be returned in the response. The exact meaning of newer depends on the value of since_type
ISO date
the transactions which were booked on or after this date will be returned in the response
Declaration
Swift
public var since: String?
-
optional This parameter defines how the parameter since will be interpreted.
booked (the default)
the value of the parameter since will be compared to the booking date of the transaction.
created
the value of the parameter since will be compared to the creation time of the transaction on the figo Connect server
modified
the value of the parameter since will be compared to the last modification time of the transaction on the figo Connect server. The response parameter transactions will contain not only newly created transactions but also modified transactions. The response parameter deleted will contain a list of removed transactions.
Declaration
Swift
public var sinceType: TransactionSinceType?
-
optional** Return only transactions which were booked on or before this date. Please provide as ISO date
Declaration
Swift
public var until: String?
-
optional** Filter expression to narrow down the returned transactions
Declaration
Swift
public var filter: String?
-
optional** Limit the number of returned transactions. In combination with the start_id parameter this can be used to paginate the result list. (default: 1000)
Declaration
Swift
public var count: Int?
-
optional** Offset into the implicit list of transactions used as starting point for the returned transactions. In combination with the count parameter this can be used to paginate the result list.
Declaration
Swift
public var offset: Int?
-
optional** This flag indicates whether pending transactions should be included in the response. Pending transactions are always included as a complete set, regardless of the since parameter. Before caching a copy of the pending transactions, all existing pending transactions for the same account must be removed from the local cache. (Default Value: false)
Declaration
Swift
public var includePending: Bool?
-
optional** This flag indicates whether statistics over the filtered transaction list should returned alongside the actual transactions. These statistics are always computed on the complete filtered transaction list, i.e. without count and offset. (Default Value: false)
Declaration
Swift
public var includeStatistics: Bool?
-
optional** A list of transactions types which the transactions are filtered by.
Declaration
Swift
public var type: [String]?
-
Undocumented
Declaration
Swift
public struct RetrieveTransactionsParameters: JSONObjectConvertible


Gecode::ViewArray< View > Class Template Reference
[Programming actors]
Detailed Description
template<class View>
class Gecode::ViewArray< View >
View arrays.
View arrays store views. They are typically used for storing the views with which propagators and branchings compute.
Definition at line 131 of file array.icc.
Constructors and initialization | |
| ViewArray (void) | |
| Default constructor (array of size 0). | |
| ViewArray (Space *home, int m) | |
| Allocate array with m variables. | |
| ViewArray (const ViewArray< View > &a) | |
| Initialize from view array a (share elements). | |
| ViewArray (Space *home, const Reflection::VarMap &vars, Reflection::Arg *spec) | |
| Initialize from specification spec with variables vars. | |
| ViewArray (Space *home, const ViewArray< View > &a) | |
| Initialize from view array a (copy elements). | |
| const ViewArray< View > & | operator= (const ViewArray< View > &a) |
| Initialize from view array a (share elements). | |
| template<class Var> | |
| ViewArray (Space *home, const VarArgArray< Var > &a) | |
| Initialize from variable argument array a (copy elements). | |
Array size | |
| int | size (void) const |
| Return size of array (number of elements). | |
| void | size (int n) |
| Decrease size of array (number of elements). | |
Array elements | |
| View & | operator[] (int i) |
| Return view at position i. | |
| const View & | operator[] (int i) const |
| Return view at position i. | |
Dependencies | |
| void | subscribe (Space *home, Propagator *p, PropCond pc, bool process=true) |
| Subscribe propagator p with propagation condition pc to variable. | |
| void | cancel (Space *home, Propagator *p, PropCond pc) |
| Cancel subscription of propagator p with propagation condition pc to all views. | |
| void | subscribe (Space *home, Advisor *a) |
| Subscribe advisor a to variable. | |
| void | cancel (Space *home, Advisor *a) |
| Cancel subscription of advisor a. | |
Cloning | |
| void | update (Space *, bool share, ViewArray< View > &a) |
| Update array to be a clone of array a. | |
Moving elements | |
| void | move_fst (int i) |
| Move assigned view from position 0 to position i (shift elements to the left). | |
| void | move_lst (int i) |
Move assigned view from position size()-1 to position i (truncate array by one). | |
| void | move_fst (int i, Space *home, Propagator *p, PropCond pc) |
| Move view from position 0 to position i (shift elements to the left). | |
| void | move_lst (int i, Space *home, Propagator *p, PropCond pc) |
Move view from position size()-1 to position i (truncate array by one). | |
| void | move_fst (int i, Space *home, Advisor *a) |
| Move view from position 0 to position i (shift elements to the left). | |
| void | move_lst (int i, Space *home, Advisor *a) |
Move view from position size()-1 to position i (truncate array by one). | |
Dropping elements | |
| void | drop_fst (int i) |
| Drop assigned views from positions 0 to i-1 from array. | |
| void | drop_lst (int i) |
Drop assigned views from positions i+1 to size()-1 from array. | |
| void | drop_fst (int i, Space *home, Propagator *p, PropCond pc) |
| Drop views from positions 0 to i-1 from array. | |
| void | drop_lst (int i, Space *home, Propagator *p, PropCond pc) |
Drop assigned views from positions i+1 to size()-1 from array. | |
| void | drop_fst (int i, Space *home, Advisor *a) |
| Drop views from positions 0 to i-1 from array. | |
| void | drop_lst (int i, Space *home, Advisor *a) |
Drop assigned views from positions i+1 to size()-1 from array. | |
View equality | |
| bool | same (void) const |
| Test whether array has multiple occurence of the same view. | |
| bool | same (const View &y) const |
| Test whether array contains a view being the same as y. | |
| void | unique (void) |
| Remove all duplicate views from array (changes element order). | |
View sharing | |
| bool | shared (void) const |
| Test whether array contains shared views. | |
| bool | shared (const View &y) const |
| Test whether array contains a view being shared with y. | |
Reflection | |
| Reflection::Arg * | spec (const Space *home, Reflection::VarMap &m) const |
Constructor & Destructor Documentation
template<class View>
| Gecode::ViewArray< View >::ViewArray | ( | void | ) | [inline] |
template<class View>
| Gecode::ViewArray< View >::ViewArray | ( | Space * | home, | |
| int | m | |||
| ) | [inline] |
template<class View>
| Gecode::ViewArray< View >::ViewArray | ( | const ViewArray< View > & | a | ) | [inline] |
template<class View>
| Gecode::ViewArray< View >::ViewArray | ( | Space * | home, | |
| const Reflection::VarMap & | vars, | |||
| Reflection::Arg * | spec | |||
| ) | [inline] |
template<class View>
| Gecode::ViewArray< View >::ViewArray | ( | Space * | home, | |
| const ViewArray< View > & | a | |||
| ) | [inline] |
template<class View>
template<class Var>
| Gecode::ViewArray< View >::ViewArray | ( | Space * | home, | |
| const VarArgArray< Var > & | a | |||
| ) | [inline] |
Member Function Documentation
template<class View>
| const ViewArray< View > & Gecode::ViewArray< View >::operator= | ( | const ViewArray< View > & | a | ) | [inline] |
template<class View>
| int Gecode::ViewArray< View >::size | ( | void | ) | const [inline] |
template<class View>
| void Gecode::ViewArray< View >::size | ( | int | n | ) | [inline] |
template<class View>
| View & Gecode::ViewArray< View >::operator[] | ( | int | i | ) | [inline] |
template<class View>
| const View & Gecode::ViewArray< View >::operator[] | ( | int | i | ) | const [inline] |
template<class View>
| void Gecode::ViewArray< View >::subscribe | ( | Space * | home, | |
| Propagator * | p, | |||
| PropCond | pc, | |||
| bool | process = true | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::cancel | ( | Space * | home, | |
| Propagator * | p, | |||
| PropCond | pc | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::subscribe | ( | Space * | home, | |
| Advisor * | a | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::cancel | ( | Space * | home, | |
| Advisor * | a | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::update | ( | Space * | home, | |
| bool | share, | |||
| ViewArray< View > & | a | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::move_fst | ( | int | i | ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::move_lst | ( | int | i | ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::move_fst | ( | int | i, | |
| Space * | home, | |||
| Propagator * | p, | |||
| PropCond | pc | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::move_lst | ( | int | i, | |
| Space * | home, | |||
| Propagator * | p, | |||
| PropCond | pc | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::move_fst | ( | int | i, | |
| Space * | home, | |||
| Advisor * | a | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::move_lst | ( | int | i, | |
| Space * | home, | |||
| Advisor * | a | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::drop_fst | ( | int | i | ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::drop_lst | ( | int | i | ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::drop_fst | ( | int | i, | |
| Space * | home, | |||
| Propagator * | p, | |||
| PropCond | pc | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::drop_lst | ( | int | i, | |
| Space * | home, | |||
| Propagator * | p, | |||
| PropCond | pc | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::drop_fst | ( | int | i, | |
| Space * | home, | |||
| Advisor * | a | |||
| ) | [inline] |
template<class View>
| void Gecode::ViewArray< View >::drop_lst | ( | int | i, | |
| Space * | home, | |||
| Advisor * | a | |||
| ) | [inline] |
template<class View>
| bool Gecode::ViewArray< View >::same | ( | void | ) | const [inline] |
template<class View>
| bool Gecode::ViewArray< View >::same | ( | const View & | y | ) | const [inline] |
template<class View>
| void Gecode::ViewArray< View >::unique | ( | void | ) | [inline] |
template<class View>
| bool Gecode::ViewArray< View >::shared | ( | void | ) | const [inline] |
template<class View>
| bool Gecode::ViewArray< View >::shared | ( | const View & | y | ) | const [inline] |
template<class View>
| Reflection::Arg * Gecode::ViewArray< View >::spec | ( | const Space * | home, | |
| Reflection::VarMap & | m | |||
| ) | const [inline] |
The documentation for this class was generated from the following file:
- gecode/kernel/array.icc (Revision: 6240)


BYU accepts bid to Hawaii Bowl following win over Idaho State | Honolulu Star-Advertiser
PROVO, Utah >> Zach Wilson passed for 187 yards, two touchdowns and an interception to help BYU beat Idaho State 42-10 today.
Shortly after the victory, BYU announced on Twitter that it had officially accepted an invitation to play in the Hawaii Bowl on Dec. 24. The Cougars will face a team from either the American Athletic Conference or Mountain West at Aloha Stadium.
“We are looking forward to playing in the SoFi Hawai‘i Bowl,” BYU head coach Kalani Sitake said in a statement. “I’m really proud of our players and pleased they have earned this opportunity to continue to improve as a program and have one more game together with our seniors. Hawai‘i is a wonderful place and dear to my heart. I’m excited to take our team to the islands to experience the warmth of the culture and the Aloha spirit.”
Wilson returned from a six-week absence due to a fractured thumb and the sophomore quarterback surpassed 3,000 career yards passing against the Bengals. Wilson completed 19 of 31 passes.
Sione Finau ran 16 times for 102 yards and a touchdown for the Cougars (6-4). Micah Simon led the receivers with seven catches for 76 yards and Talon Shumway caught two touchdown passes.
Austin Lee returned an interception for a touchdown to open the scoring for BYU in the first quarter and 321-pound defensive lineman Khyiris Tonga ran in a 3-yard TD in the middle of the fourth.
Malakai Rango carried 24 times for 142 yards and a touchdown for the Bengals (3-8).


The Challenges of Cloud Computing
- Security: Although security can be a benefit in cloud computing, it can also be a big challenge. When you start storing information in cloud computing, you might not know exactly where your information is going exactly. This might lead to hacks or broken authentication. More than 60% of all cloud storage sites don't have the proper firewalls and antiviruses they should have. The cost of having full time monitors looking after the data stored can pile uo and may not be something that your cloud storage site wants to invest in or maintain.
- Cloud set-up: When people start to use cloud computing, they might not be sure on how to set up their account (public, private, or hybrid) People might not choose the right set ups and this can lead to data security issues. This can result in the imroper storage of your informaton or in others having access to an account you thought was private. Not knowing how to manage a certain cloud account is something that many consumers don't know how to do so companies must find a way to make it as simple as possible.
- Lost Data Recovery: Sometimes cloud comuputing can cause data loss. As a result of this, proper backup policies must be placed for the loss. All the cloud computing services must be set up where there are proper arrangements for the backup for a least 2 locations. This doesn't gurantee the security of the other two locations and finding a way to balance the backup costs while not charging a high price can cause issues.
- Shared Access: Even though letting multiple users in for cloud computing might be a benefit, it can still lean more to the challenge and lead to risks. Because of multiple users, there are more shared information and can result in a big privacy matter. The information shared can get into the wrong hands or someone could grant a third party access to the storage.
- Cyber Attacks: If you store data in cloud computing, there is always a risk of cyber attacks. Therefore, the datas stored always need to have extra protection, which can be a challenge for some cloud computing users. Since many companies don't have the adequate protection to deal with these kinds of attacks, it's highly recommended you do your research before you choose a cloud computing storage site.


The HttpClient instance returned from Titanium.Network.createHTTPClient. This object (mostly) implements the XMLHttpRequest specification.
| Name | Description |
|---|---|
| abort.html | abort a pending request |
| getResponseHeader.html | return the response header. |
| open.html | open the request and ready the connection |
| send.html | send the request |
| setRequestHeader.html | set the request header. Must be called after `open` but before `send`. |
| setTimeout.html | set the request timeout |
| Name | Type | Description |
|---|---|---|
| DONE | int | the DONE readyState constant |
| HEADERS_RECEIVED | int | the HEADERS_RECEIVED readyState constant |
| LOADING | int | the LOADING readyState constant |
| OPENED | int | the OPENED readyState constant |
| UNSENT | int | the UNSET readyState constant |
| connected | boolean | boolean to indicate that the response was successful |
| connectionType | string | the connection type, normally either GET or POST. |
| location | string | the absolute URL of the request |
| ondatastream | function | set this to a function before calling open to cause the function to be called at regular intervals as the request data is being received. the progress property of the event will contain a value from 0.0-1.0 with the progress. |
| onerror | function | set this to a function before calling open to cause the function to be called upon a error response |
| onload | function | set this to a function before calling open to cause the function to be called upon a successful response |
| onreadystatechange | function | set this to a function before calling open to cause the function to be called for each readyState change |
| onsendstream | function | set this to a function before calling open to cause the function to be called at regular intervals as the request data is being transmitted. the progress property of the event will contain a value from 0.0-1.0 with the progress. |
| readyState | int | the readyState value |
| responseData | object | the response data as a Blob object. |
| responseText | string | the response as text or null if an error was received or no data was returned |
| responseXML | object | the response object as an XML DOMDocument object. returns null if the content type returned by the server was not XML or the content could not be parsed |
| status | int | the response HTTP status code |
| validatesSecureCertificate | boolean | set this to control how SSL certification validation is performed on connection. defaults to false if in simulator or device testing and true if release for distribution mode. |


Predicting rain with Scikit (Machine Learning)
In the olden days of yore, predicting the weather was near-impossible task reserved to fortunetellers and shamanistic figures. People would spend their lives, rather unfruitfully, trying to unlock just a small glimpse into the future.
Lucky for us then that we live in the future. So here’s how to do it in five minutes.
Let’s choose a simple task, like predicting if it will be rainy in Seattle on a given day in the future. The benefit of this is that as the cloudiest city in America, our algorithm doesn’t have to be much more accurate than a coin flip.
I’m using this data set that catalogs historical days of rain in the area from 1948-2017. Our data contains 5 dimensions:
DATE = the date of the observation
PRCP = the amount of precipitation, in inches
TMAX = the maximum temperature for that day, in degrees Fahrenheit
TMIN = the minimum temperature for that day, in degrees Fahrenheit
RAIN = True if rain was observed on that day, False if it was not
So one line of input might look something like
"19950909",0,76,54,"FALSE"
,
which would mean
September 9th 1995, high of 76, low of 54, 0 inches precipitation, so no rain.
To start, we’ll bring in three python libraries, the real heavy hitters.
import numpy
import pandas
import sklearn
Numpy gives us a bunch of ways to manipulate numbers (such as square-root functions), pandas let’s us work with datasets to create tables and whatnot, and sklearn (short for SciKit-Learn) brings the machine learning algorithms that make this possible.
Now let’s bring in our dataset and take a look at it.
weather = pandas.read_csv("C:/Users/Samue/Desktop/MyWebsite/CloudsML/seattleWeather_1948-2017Copy.csv", header = 0, sep = ",")
#We can specify headers manually by adding `names=["DATE", "PRCP", "TMAX", "TMIN", "RAIN"]` to above.
#Since the first line of our data contains the headers, we'll let pandas take care of it automatically with the headers = 0 parameter.
>>> print(weather.head())
DATE PRCP TMAX TMIN RAIN
0 19480101 0.47 51 42 True
1 19480102 0.59 45 36 True
2 19480103 0.42 45 35 True
3 19480104 0.31 45 34 True
4 19480105 0.17 45 32 True
>>> print(weather.describe())
DATE PRCP TMAX TMIN
count 2.555100e+04 25548.000000 25551.000000 25551.000000
mean 1.982543e+07 0.106222 59.544206 44.514226
std 2.019306e+05 0.239031 12.772984 8.892836
min 1.948010e+07 0.000000 4.000000 0.000000
25% 1.965063e+07 0.000000 50.000000 38.000000
50% 1.982122e+07 0.000000 58.000000 45.000000
75% 2.000062e+07 0.100000 69.000000 52.000000
max 2.017121e+07 5.020000 103.000000 71.000000
That’s some mighty-fine looking data.
Before we start, let’s do some basic data cleaning. Do we have any N/A values that will mess with our data?
>>> print(weather.isnull().values.any())
True
Yep, looks like we have a few days without rain data, such as "19980602","NA",72,52,"NA"
.
We can get fancy and predict precipitation values through a nearest-neighbors check, but let’s just remove them as it only accounts for a loss of ~5 rows.
weather = weather.dropna()
We’re going to predict how much it will rain on a day (predict the PRCP value). We’ll split our data into two sets, X (the independent data), and Y (the dependent data we want to predict).
X = weather.drop(["PRCP", "RAIN"], axis=1) #all columns except PRCP and RAIN, as both give the answer away.
y = weather["PRCP"]
great, now we have an array containing just our date and temperature values, and an array with just the precipitation values. Our goal is to predict the y on a date when given X.
Using the train_test_split function, we create the appropriate training/testing data for our features (“X_train” and “X_test” respectively) and target data (“y_train” and “y_test”). We are specifying our test data to be 20% of the total data (80/20 split model, thanks Pareto). We are also providing a defined seed value (42) to be able to reproduce this split if we want to come back to it later. Without a defined seed, it will split the data differently each time we run it, making debugging a bit more difficult.
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
>>> print(X_train.shape)
(20438, 3) #20438 training rows
>>> print(X_test.shape)
(5110, 3) #5110 testing rows
Now it’s time to pick a model. Different regression models will fit better for different types of data.
“Linear regression” is the one that get’s all the press, and for good reason - it’s simple and it works well when you have linear data. When you’re trying to predict the price of a house, which seems like something that would scale linearly with input values like square footage, this is a good model to use.
But weather isn’t linear, it’s more of a sin-wave - with temperature peaks and valleys in summer and winter respectively.
While we’re trying to predict rain and not heat, we could make an educated guess that the clouds would follow the seasons to some degree. Sunny summers and cloudy winters.
A decision tree model seems like the best fit here.
For fun, let’s also bring in a random forest model. This is a model that builds many individual decision trees, then pools their predictions. It’s in a class of slightly more sophisticated models that are referred to as ‘Ensemble learning’.
Now let’s train these machines!
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor
tree_model = DecisionTreeRegressor()
rf_model = RandomForestRegressor()
tree_model.fit(X_train, y_train)
rf_model.fit(X_train, y_train)
Well that was easy, wasn’t it?
Now that our models are built & trained on the data (we have a comparatively small data set for ML standards, so it goes fast), it’s time to evaluate how well they did.
def display_scores(scores):
print("Scores:", scores)
print("Mean:", scores.mean())
print("Standard deviation:", scores.std())
print("\n")
from sklearn.model_selection import cross_val_score
scores = cross_val_score(tree_model, X_train, y_train, scoring="neg_mean_squared_error", cv=10)
tree_rmse_scores = numpy.sqrt(-scores)
scores = cross_val_score(rf_model, X_train, y_train, scoring="neg_mean_squared_error", cv=10)
rf_rmse_scores = numpy.sqrt(-scores)
Let’s see how our decision tree model preformed vs our random forest
>>> display_scores(tree_rmse_scores)
Scores: [0.32785747 0.3120757 0.31520675 0.3118263 0.28814834 0.31632178
0.31382765 0.32981789 0.30310489 0.31043535]
Mean: 0.31286221219866617
Standard deviation: 0.011154876523176923
>>> display_scores(rf_rmse_scores)
Scores: [0.25463742 0.24316711 0.24797083 0.24010446 0.23350186 0.24951792
0.24806436 0.23225629 0.23227359 0.25888471]
Mean: 0.24403785441735462
Standard deviation: 0.00893830076030914
After one training session, our single tree is off (on average) by about .3 inches of rainfall, while our forest is doing slightly better at 0.24 inches off. Looks like we’re using the forest.
Let’s test this model out. Given just the date, our model will blindly predict how much it thinks it’ll rain. Then, we compare against
#provide date in form 19480103
def predictVsActuals(day):
precipPredictDay = X.loc[X['DATE'] == day]
precipPredictValue = round(rf_model.predict(precipPredictDay)[0], 3)
precipActual = weather.loc[wheather['DATE'] == day]
precipActualValue = round(precipActual.iloc[0]["PRCP"], 3)
print("On", precipActual.iloc[0]["DATE"], "there was a high of", precipActual.iloc[0]["TMAX"], "and a low of", precipActual.iloc[0]["TMIN"])
print("There were", precipActualValue, "inches of rainfall")
print("We predicted",precipPredictValue, "inches of rainfall")
print("we were off by ", round(abs(precipActualValue-precipPredictValue), 3), "inches")
print("\n")
Neat!
As you can imagine, there’s a lot more we can do here, but this should give us a good base to go off of to get an initial understanding of ML.
If you’re so inclined, you can check out the code on Github
Todo’s:
- Standardize the data using a scalar, resulting in more efficient training.
- Visualize the data using jupyter notebooks.
- Download data automatically from a weather service, and ambiently train our algorithm (online-learning) to be getting better constantly.


A moody villain that glitters under the sun. Bites other players to convert them to vampires or kill them at night
A lonely villain that's half naked most of the time. Bites other players to convert them to werewolves or kill them at night
Bella chooses a player to sleep with her at night. that player cannot be targetted by villains and batman, but villains would bite both Bella and her guest if they pay a visit to Bella.
Detective chooses someone at night to check whether or not the target is a villain.
Batman tries to kill someone at night. if batman succeeds, that person's role is also revealed.
If Bieber is voted to death, bieber wins the game.
Doctor can inject someone with medicine at night to prevent them being bitten by vampire or werewolf. However, if the good doctor injects someone two nights in a row, that person dies of overdose.
Sue is an angry person. If Sue dies, she kills someone.
Kirby has the option at night to randomly change into a role of a dead person.
Luke and Leia are sibling lovers. When one dies, so does the other.
Littlefinger is on the same side of the villains, but the villains don't know that.
Welcome to Werewolf Companion v0.20


On 5 January 2019, 7 new articles were published in 5 journals.
The Pathways to Desistance: A Longitudinal Study of Juvenile Delinquency
His Reputation Precedes Him: Examining the Construction and Management of the Pimp in Strip Clubs
Entitled to Embezzlement? the Case of Successful Executives Working For Rich Heirs
Desistance Across the Life Course: Editorial Introduction
Special Sentiments From Former Colleagues
Determinants of Fraud Examination Performance: An Empirical Study of Internal Investigation Reports


Feedback welcome! You can contact me by emailing<EMAIL_ADDRESS>You have some questions? Check out at first the FAQ page at: http://devops-online.com/splunk-pcap-analyzer
INTRODUCTION
The Splunk App for PCAP files will express the pcap files into helpful charts by converting the files into a Splunk readable CSV file
Included with this first version of the Splunk App For PCAP is:
- Script (pcap2csv.bat and pcap2csv.sh) for Windows and Unix systems to convert the PCAP files to a CSV file
(sourcetype is defined for the output of the included script)
NOTES ABOUT THE DATA
I have suffered from timestamp problems with PCAP files over 500MB.
In case of big files I have split the pcap files into smaller files by using editcap.exe out of the Wireshark package.
-Index defined for the data:
-->index=ws
-Sourcetype defined for the data:
-->sourcetype=pcap:csv
-Inputs are defined as follows:
-->Windows: [monitor://C:\Program Files\Splunk\etc\apps\SplunkForPCAP\bin\windows*.csv]
-->Unix: [monitor:///opt/splunk/etc/apps/SplunkForPCAP/bin/unix/.csv*]
REQUIREMENTS
GETTING STARTED
After the installation:
Step 1: Make sure the ../SplunkForPCAP/bin/ folder has all administrative privileges to execute the batch and shell script
Step 2: Make sure the path in the pcap2csv scripts will fit with your path configured (default: C:/Program Files/Splunk or /opt/splunk)
Step 3: Make sure the Splunk Home path fits to the inputs.conf file in /default folder.
Step 4: In case of a configuration change (inputs.conf), you have to restart splunk.
How to convert PCAP to CSV:
ROADMAP


This manual describes the information necessary for developing the application software of the following FANUC CNC, incorporating FOCAS1/2 CNC/PMC Data window library.
Use this manual together with the operator's manual of the following CNC.
<Attention>
There is a limitation of the functions which can be used for the development, by the difference of the CNC Series, Model, Type and series and version of control software.
This "Available CNC" table is made in accordance with the latest version of 15i, 16i, 18i, 21i, 0i , 30i, 31i, 32i, 35i, Power Mate i and Power Motion i. Moreover, some functions need the proper function at the control software of the CNC even if the CNC is the latest version. So, the functions which cannot be used for the CNC which is owned by the customer for the purpose of the application development may exist.
Therefore, please confirm the availability of the function at the target control software of the CNC, then go ahead the development of the application.
Especially, please confirm the compatibility for the development of the application for the old model CNC, and availability for the newly added functions.
Copyright, Others
* Microsoft, MS, MS-DOS, Windows, Visual Basic are registered trademarks of Microsoft corporation, U.S.A.
* Visual C++ is trademark of Microsoft corporation, U.S.A.
* Company name and product name mentioned in this manual are registered trademark or trademark of each company.


File generated from /Users/xenykr/Documents/project/Tellet/ssam/apps/ssam_telephony/.eunit/ssam_telephony_call_resource.erl by COVER 2014-10-07 at 16:20:12 **************************************************************************** | %% ------------------------------------------------------------------------ | %% Copyright (c) 2014, Kook Maeng<EMAIL_ADDRESS>| %% | %% Permission to use, copy, modify, and/or distribute this software for any | %% purpose with or without fee is hereby granted, provided that the above | %% copyright notice and this permission notice appear in all copies. | %% | %% THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES | %% WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF | %% MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR | %% ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES | %% WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN | %% ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF | %% OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. | %% ------------------------------------------------------------------------ | | -module(ssam_telephony_call_resource). | | %-compile(export_all). | -export([post/2]). | | | -include_lib("ssam/include/ssam.hrl"). | -include("ssam_telephony.hrl"). | | | %% @todo Reduce the logic of state functions | | %% Public functions | | post(#request{ | uri = [<<"calls">>], | id = ReqId, account_sid = Sid, body = Params | } = Request, Sender) -> 0..| lager:info("~p:post -> RequestId: ~p, Path: ~p, Sender: ~p", | [?MODULE, Request#request.id, Request#request.path, Sender]), 0..| From = proplists:get_value(<<"from">>, Params), 0..| To = proplists:get_value(<<"to">>, Params), 0..| App = proplists:get_value(<<"app">>, Params), 0..| Vars = [{K, V} || {<<"var_", K/bits>>, V} <- Params], 0..| Params1 = ssam_objects:list_deleted([<<"app">>], Params), 0..| Params2 = ssam_objects:value_replaced(<<"acc_id">>, Sid, Params1), 0..| Params3 = ssam_objects:value_replaced(<<"app_id">>, ReqId, Params2), 0..| handle_post_call({From, To, App, Vars}, Request#request{body = Params3}). | | %% Private functions | | handle_post_call({From, To, <<"http", _/bits>> = App, Vars}, Request) -> 0..| ssam_telephony_fs:call(From, To, {url, App}, Vars, Request), 0..| {ok, ssam_rest:response(?STATUS_CREATED, Request)}; | | handle_post_call({From, To, <<"<tellet>", _/bits>> = App, Vars}, Request) -> 0..| Result = ssam_telephony_fs:call(From, To, {xml, App}, Vars, Request), 0..| {ok, ssam_rest:response(?STATUS_CREATED, Request)}; | | handle_post_call({From, To, <<"bridge", _/bits>> = App, Vars}, Request) -> 0..| ssam_telephony_fs:call(From, To, {app, App}, Vars, Request), 0..| {ok, ssam_rest:response(?STATUS_CREATED, Request)}; | | handle_post_call({From, To, App, Vars}, Request) -> 0..| case ssam_telephony_fs:call(From, To, {id, App}, Vars, Request) of | ok -> 0..| {ok, ssam_rest:response(?STATUS_CREATED, Request)}; | {?error, Error} -> 0..| {?error, ssam_rest:response(?STATUS_CONFLICT, Error, Request)} | end.


Parents warned not to share photos of kids on Tinder
by Vanessa SchmittMUMS and dads have been warned not to use photos of their children on Tinder because of fears the youngsters’ pictures could end up in the hands of paedophiles.
A number of single parents are posting snaps of themselves with their kids as they strive to find a match on the dating app.
A Mandurah Tinder user, 35, who asked to remain anonymous, said he fully expected some women his age to have children but did find it a bit strange when youngsters’ photos were posted.
“I’d prefer to find out they have children in their bio,” the man said.
“It’s not a deal-breaker if they post photos with their children. I just ask, why?”
Experts said using the photographs was not only an invasion of the kids’ privacy, it could also unwittingly expose them to online dangers.
Surf Online Safe founder Paul Litherland said predators preyed on vulnerable single parents.
“There have been cases of adults trawling dating sites looking for single mums,” Mr Litherland said. “They then start a relationship with the single mum to get access to the kids.
“You just don’t know how far these things can go.
“You really don’t know who you are interacting with on these sites. Parents need to minimise the risk of children being identified externally.”
Photos of children are allowed on Tinder as long as there is also an adult in the image.
But with the app primarily used to ‘hook up’ with strangers, the use of pictures featuring youngsters is fraught with danger.
The issue of ‘sharenting’, where parents share too much information about their children online, has caused a great deal of concern in recent years.
The increase in social media and dating apps means pictures of kids are being uploaded at increasing rates with little realisation about where these photos can end up.
Crystal Abidin, a digital anthropologist from Curtin University, said parents had to realise people could use the pictures for their own purposes.
“Parents should be aware that images can be reused,” Dr Abidin said.
“If children can be identified in the real world, it only takes a few moments to find out their school and where they live.
“While posting photos of children might be well intended, there is a lack of control with how images might be used once they are online.”
Mr Litherland, a former police officer, pointed out some Tinder profiles were linked to Facebook and Instagram, and that social media provided more avenues for predators to exploit.
Taryn Wren, the executive director of cyber safety education experts YSafe, said parents were potentially taking huge risks posting photos of their kids.
“The danger is when there is someone that is using that platform with intent to cause harm,” Ms Wren said. “But the platforms are not designed to be used in that way.”
She said there were safety concerns with parents sharing photos of children online, but every situation was different.
“You can’t apply a blanket rule, it depends on the specific circumstances,” Ms Wren said.
Dr Abidin said Tinder “can be an erotic marketplace” and children’s faces should be blurred or obscured using age appropriate emojis.
She said there should never be photos of kids posted in school uniform or at well-known locations.
Dr Albin said the children’s rights also had to be considered: “Can they opt-out of their images being used in public?”
More news
Can tough love make our kids more resilient?


{% extends "layout.html" %}
{% load staticfiles %}
{% block title %}Yoga Schedule | Do Love : Do Yoga{% endblock %}
{% block description %}Schedule for upcoming yoga classes and workshops taught by Teresa Jugovich{% endblock %}
{% block yoga_active %}active{% endblock %}
{% block yoga_schedule_active %}class="active"{% endblock %}
{% block slider %}
{% endblock %}
{% block breadcrumbs %}
{% endblock %}
{% block content %}
Classes
- Tuesday
-
- Saturday
-
Workshops
- Sunday June 5th
-
- Sunday July 3rd
-
{% endblock %}


Tomorrow, after a customer meeting in Linz, I'll directly head to the airport traveling to Brussels for giving a presentation on Office in a Service Oriented World for the European Union. I've prepared a bunch of interoperability demos I'll share after the conference on my blog for really showing interop of Office with other platforms at several levels. I'll access (self-written) Java Web Services from within Office, I'll access SharePoint Web Services from within Java and finally I'll use Java to automatically generate Office Open XML File Formats. Wow, it was a long time ago when I touched Java for the last time, but for these interoperability demos I've written my first Java applications after more than 5 years of Java-break... that was fun (and sometimes pain)...
Honestly, I am a little bit nervous:) Hope everything's going right on Friday as I really worked hard for getting the really good intnerop-message across...


Sorry for the inconvenience but we are performing some maintenance at the moment and we will be back online shortly.
- The Cloud Raxak Team


About Time
About Time is a movie starring Domhnall Gleeson, Rachel McAdams, and Bill Nighy. At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better...


{% extends "structure/base.html" %} {% block content %}
The Michigan Student Artificial Intelligence Lab (MSAIL) focuses on engaging students with machine learning, data science, and artificial intelligence at the University of Michigan. Our purpose is best introduced by the following quote from an interview with Andrew Ng,
“ I tell them that if you read research papers consistently, if you seriously study half a dozen papers a week and you do that for two years, after those two years you will have learned a lot... But that sort of investment, if you spend a whole Saturday studying rather than watching TV, there's no one there to pat you on the back or tell you you did a good job. ” — Andrew NgWe're those people, and we're here to help. We'll never ask for your Saturdays, but our goal is to keep you motivated and excited about machine learning and data science. With over four hours of activities every week targeted at students of all backgrounds and ability, we invite anyone to join us!


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Something Happened...
| DOSE: |
0.75 g |
smoked |
Catnip |
(plant material) |
I am 13 years old and have been into drugs for about 6 months. I used to smoke a lot of weed until I got caught. I am now in weekly drug testing and I am not willing to risk flunking it by smoking weed, so I have been trying to find a legal alternative. I've been wanting to get something strong like Hops or Salvia Divinorum, but I don't have anywhere to ship to without the possibility of my mother finding my package, so that is not a possibility in the near future. Then I heard that catnip could give you a good buzz so I went to the grocery store and picked up 2.1 oz for $1.50..
The first 2 times I smoked catnip, I got a mild buzz, but that was because I only took about 2-3 small drags every time. I wanted much more, so right now I just smoked some more, but I had much more, and I took huge, fast drags.  This is probably because I am young and have a small body weight.
Like I said before, the first two times were very mild buzzes, except for the fact that when I talked to my brother, his voice seemed telephone quality, but I just had some right now.. at first, everything seemed much more sharp and my eyes seemed to be working much better than usual. Next, I started noticing flashes of light in the streets, and this began to scare me quite a bit. At this point I was noticing mild paranoia. After I finished, I decided to go inside. On the way in, I noticed some things that were very unimportant, like a spider web hanging from a tree. When I looked in my front yard, it looked much emptier than usual. I noticed that now the living room was brighter, cleaner, and smaller. Right now as I am typing, I am feeling fine, but I have noticed that it works best where there is a lot going on, like traffic moving.
Most experiences from other people were generally extremely mild buzzes, but I was shocked today, to find out that this worked for me as a mild visual & audio hallucinogen. In my case, it was definetely worth $1.50, if not more.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


A network of science: 150 years of Nature papers
Exclusive analysis explores Nature’s multidisciplinary history.
by Noah BakerScience is a network, each paper linking those that came before with those that followed. In this video, we dive into an analysis of Nature's part of that network. We explore the network, taking you on a tour of 150 years of interconnected, interdisciplinary research, as represented by Nature's publication record.
doi: 10.1038/d41586-019-03325-6


After graduating high school in June, a few very close friends and I took a month long tour of western europe. Not by mistake, this included a week-long visit to Amsterdam. If you haven't been, this city is really a must for anyone with any interest in culture and environmental aesthetics. Even for the non-grass-smokers among us, the canals, architecture, and wonderful culture are enough to inspire and entertain continously.
As for me, I am a grass smoker. Pretty well experienced, I had partaken of sensimilla regularly for the better part of 4 years. Nonetheless, I heeded the cautioning of those who went before me - 'nederwied' is not your average American seedless. I practiced restraint and followed my body when it told me I should not let my surroundings lead me to over-indulgence. I narrowly avoided any adverse experiences, and had a hell of a good time in the process.
That is, until, my confidence got the best of me. Having conquered the most potent strains I could find, my partners in crime and myself decided we would enhance our departing train trip to Barcelona (via Paris) with some cake I purchased from a nearby rastafarian coffeeshop. While it's deep green color and choking aroma should have given it away, the cake did not seem like anything I couldn't handle. I've eaten enough ganja cookies to choke a horse.
We ate the said cake at 8:45 a.m. before boarding our train, each consuming 1 slice each. As I was becoming comfortably enveloped in Kurt Vonnegut's Galapagos (a fantastic book), things started to go wrong. My girlfriend, a bit smaller and less experienced than myself, was complaining of stomach pains. -They will pass- I told her, sure that they would. I realized my mistake when she vomited on the tray table in front of her. This was 11 am.
By the time we unloaded for our connecting train in Paris, about 1 pm, I was more stoned than I've ever been. My companions were all too high to stay awake, passing out at the first bench we saw. As people passed our entourage, I became paranoid. Unable to sleep with the need to watch our backpacks and belongings, I felt like everyone knew exactly what state we were in. I tried to bury myself in my book to look inconspicuous and forget about the situation, but each passing word made less and less sense. Feeling alone and extremely urgent, I woke the girls up at 3:30 pm and insisted that we force ourselves to the metro and to the other train station from where we would catch our car to Barcelona. We still had 7 grueling hours to go before that train would come.
After a metro trip that I barely remember now, we arrived at Paris Austerlitz around 4 pm. I was stoned beyond compare. After parking at a new location for the girls to pass out, one of them said 'Guys, I lost my wallet.' To give you an idea of the state we were all in, none of us responded. No 'I'm sorry' or 'That sucks' came out of any of our mouths. We were too incapacitated to react.
This became more obvious when a man behind us began having a seizure. When I realized what was going on and that there was at least one man trying to help him, I, for shame, simply woke my friends up and asked if we could move away from the commotion. I was in no state to help this man, so I took the easier route of ignoring him.
Around 6 pm, I started experiencing the worst stomach pains I've ever had. Having lost my appetite after the cake, I had eaten nothing but the devil's pastry and two rolls all day. I finally got up the energy to use the toilet, but after entering the bathroom and seeing that it was full of attendents and fee collectors, I could not bring myself to sit down. I quickly used the urinal and chose to endure the pain and save myself the embarassment of what was sure to be one of the most terrifying poops I would ever take. And still, I was retardedly stoned.
After laying for two more hours in pain and stupidity, my nausea subsided enough for me to force down a cheese sandwich. Anything, I thought, to dilute the poison in my stomach. Sure enough, the nausea went completely away within an hour. After the girls had had sufficient sleep, around 7 pm, I took advantage of my first opportunity to pass out. I woke at 9:30 with the worst headache I'd had in years, anxious to board our train and sleep until morning. And that's just what I did, sleeping from 11 pm until 7 am and waking up extremely happy to be sober.
All in all, I was stoned for about 12 hours. Naturally, I swore off marijuana forever. I lasted 9 days - until we arrived in Switzerland. But that's another story...
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Before Change
Shouldn"t be able to access the state yet
l_clf.train(train)
self.failUnlessEqual(err(None), terr(train),
msg="ConfusionBasedError should be equal to TransferError on" +
" traindataset")
// this will print nasty WARNING but it is ok -- it is just checking code
// NB warnings are not printed while doing whole testing
self.failIf(terr(test3) is None)
After Change
l_clf.train(train)
e, te = err(None), terr(train)
self.failUnless(abs(e-te) < 1e-10,
msg="ConfusionBasedError (%.2g) should be equal to TransferError "
"(%.2g) on traindataset" % (e, te))
// this will print nasty WARNING but it is ok -- it is just checking code
// NB warnings are not printed while doing whole testing


One of Oppia's strengths is its ability to bring interactivity and guided discovery learning to online, computer-based learning. Thus, a common format for an Oppia exploration is to pose a problem to the reader, and guide them towards solving this problem by posing a series of questions. This way, the reader actively discovers the answer with the exploration's help, as opposed to just being told what the answer is.


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