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Extensions and Applications of Deep Probabilistic Inference for Generative Models
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Extensions and Applications of Deep Probabilistic Inference for Generative Models. |
| 개인저자 | Wu, Mike Hongfei. |
| 단체저자명 | Stanford University. |
| 발행사항 | [S.l.]: Stanford University., 2022. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2022. |
| 형태사항 | 263 p. |
| 기본자료 저록 | Dissertations Abstracts International 84-04B. Dissertation Abstract International |
| ISBN | 9798352600313 |
| 학위논문주기 | Thesis (Ph.D.)--Stanford University, 2022. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
Advisor: Ermon, Stefano;Finn, Chelsea;Goodman, Noah. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Language. Statistics. Histopathology. Deep learning. Decision making. Plot (Narrative). Item response theory. Probability. Machine translation. Algorithms. Clustering. Ablation. Computer science. Mathematics. Pathology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
