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Extensions and Applications of Deep Probabilistic Inference for Generative Models.
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Extensions and Applications of Deep Probabilistic Inference for Generative Models.
자료유형  
 학위논문
Control Number  
0016619683
International Standard Book Number  
9798352600313
Dewey Decimal Classification Number  
400
Main Entry-Personal Name  
Wu, Mike Hongfei.
Publication, Distribution, etc. (Imprint  
[S.l.] : Stanford University., 2022
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2022
Physical Description  
263 p.
General Note  
Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
General Note  
Advisor: Ermon, Stefano;Finn, Chelsea;Goodman, Noah.
Dissertation Note  
Thesis (Ph.D.)--Stanford University, 2022.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Language.
Subject Added Entry-Topical Term  
Statistics.
Subject Added Entry-Topical Term  
Histopathology.
Subject Added Entry-Topical Term  
Deep learning.
Subject Added Entry-Topical Term  
Decision making.
Subject Added Entry-Topical Term  
Plot (Narrative).
Subject Added Entry-Topical Term  
Item response theory.
Subject Added Entry-Topical Term  
Probability.
Subject Added Entry-Topical Term  
Machine translation.
Subject Added Entry-Topical Term  
Algorithms.
Subject Added Entry-Topical Term  
Clustering.
Subject Added Entry-Topical Term  
Ablation.
Subject Added Entry-Topical Term  
Computer science.
Subject Added Entry-Topical Term  
Mathematics.
Subject Added Entry-Topical Term  
Pathology.
Added Entry-Corporate Name  
Stanford University.
Host Item Entry  
Dissertations Abstracts International. 84-04B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:625950
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