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Grant: Postgraduate Scholarships - Doctoral

University of Washington

$10,500.00

Recurrent Sum-Product Networks for Natural Language Generation

FY 2021-22

Summary
Machine Learning, Deep Learning, Generative Model, Sum Product Network, Graphical Model, Tractable Learning, Natural Language Processing, Natural Language Generation, Recurrent Network, Sum Product Theorem
Program
Postgraduate Scholarships - Doctoral
Location
Washington, UNITED STATES
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
517088-2018
Name nom
West, Peter
Department département
Computer Science and Engineering
Organization id
1607
Institution établissement
University of Washington
Province en
Washington
Province fr
Washington
Country en
UNITED STATES
Country fr
ÉTATS-UNIS
Fiscal year exercice financier
2021
Competition year année de concours
2018
Award amount
10500
Program id
PGSD
Program name en
Postgraduate Scholarships - Doctoral
Program name fr
Bourses d'études supérieures - doctorat
Group en
Training programs
Group fr
Programmes de bourse
Committee code
198
Committee name en
S&F Committee for Computing Sciences
Committee name fr
Comité de sélection des bourses en informatique
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:7
Partie
1
Nb partie
7
Application title
Recurrent Sum-Product Networks for Natural Language Generation
Keyword
NSERC
Application summary
Machine Learning, Deep Learning, Generative Model, Sum Product Network, Graphical Model, Tractable Learning, Natural Language Processing, Natural Language Generation, Recurrent Network, Sum Product Theorem