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Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer
Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer
celsa-spraggs
Florida Department of TRANSPORTATION
Florida Department of TRANSPORTATION
tatyana-admore
California Department of Transportation
California Department of Transportation
myesha-ticknor
Computer Science Department
Computer Science Department
conchita-marotz
Minnesota Department of Veterans Affairs
Minnesota Department of Veterans Affairs
aaron
U.S. Department of Education Office of Special Education Programs
U.S. Department of Education Office of Special Education Programs
luanne-stotts
Nash Equilibria of Static Prediction Games Michael Br uckner Department of Computer Science
Nash Equilibria of Static Prediction Games Michael Br uckner Department of Computer Science
alexa-scheidler
Accounting BYU-Idaho Accounting Department
Accounting BYU-Idaho Accounting Department
min-jolicoeur
1 V1 CARRIER MEDICAL DEPARTMENT
1 V1 CARRIER MEDICAL DEPARTMENT
kittie-lecroy
Dealing with Cases Involving the Department of Revenue
Dealing with Cases Involving the Department of Revenue
kittie-lecroy
SARU (SA Rugby) – Referees Department
SARU (SA Rugby) – Referees Department
pasty-toler
On Reproducible Econometric Research Roger Koenker Achim Zeileis Department of Economics
On Reproducible Econometric Research Roger Koenker Achim Zeileis Department of Economics
natalia-silvester
Towards a Mathematical Theory of Primal Sketch and Sketchability Chengen Guo SongChun
Towards a Mathematical Theory of Primal Sketch and Sketchability Chengen Guo SongChun
ellena-manuel
Deep Recursive Neural Networks for Compositionality in Language Ozan Irsoy Department
Deep Recursive Neural Networks for Compositionality in Language Ozan Irsoy Department
tawny-fly
Determinants of Certain Classes of ZeroOne Matrices with Equal Line Sums ChiKwong Li Department
Determinants of Certain Classes of ZeroOne Matrices with Equal Line Sums ChiKwong Li Department
danika-pritchard
Modeling Human Location Data with Mixtures of Kernel Densities Moshe Lichman Department
Modeling Human Location Data with Mixtures of Kernel Densities Moshe Lichman Department
kittie-lecroy
UNITED STATES DEPARTMENT OF STATE BUREAU OF DIPLOMATIC
UNITED STATES DEPARTMENT OF STATE BUREAU OF DIPLOMATIC
lindy-dunigan
This information is provided by the Department of Commerce as a general guide only and
This information is provided by the Department of Commerce as a general guide only and
karlyn-bohler
Machine department of licensing and regulatory affairs corporations securities and commercial
Machine department of licensing and regulatory affairs corporations securities and commercial
briana-ranney
This information is provided by the Department of Commerce as a general guide only and
This information is provided by the Department of Commerce as a general guide only and
jane-oiler
US Department of Labor DJHDQGRXULYLVLRQ XJXVW Fact Sheet Break Time for Nursing Mothers
US Department of Labor DJHDQGRXULYLVLRQ XJXVW Fact Sheet Break Time for Nursing Mothers
alexa-scheidler
REVIEW The role of thyroid hormones in depression Carsten Kirkegaard and Jens Faber Department
REVIEW The role of thyroid hormones in depression Carsten Kirkegaard and Jens Faber Department
myesha-ticknor
FOIA Backlog Reduction Plan Department of State June Version
FOIA Backlog Reduction Plan Department of State June Version
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*Corresonding author: Louwrens C. Hoffman, Department of Animal Scienc
*Corresonding author: Louwrens C. Hoffman, Department of Animal Scienc
cheryl-pisano