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Algorithms for Discovering Collections of High-Quality and Diverse Solutions, with Applications to Bayesian Non-Negative Matrix Factorization and Reinforcement Learning
Algorithms for Discovering Collections of High-Quality and Diverse Solutions, with Applications to Bayesian Non-Negative Matrix Factorization and Reinforcement Learning
- 자료유형
- 학위논문
- Control Number
- 0015762475
- International Standard Book Number
- 9798684633041
- Dewey Decimal Classification Number
- 1.5
- Main Entry-Personal Name
- Masood, Muhammad Arjumand.
- Publication, Distribution, etc. (Imprint
- [Sl] : Harvard University, 2019
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2019
- Physical Description
- 201 p
- General Note
- Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
- General Note
- Advisor: Doshi-Velez, Finale;Parkes, David C.;Singer, Yaron.
- Dissertation Note
- Thesis (Ph.D.)--Harvard University, 2019.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Artificial intelligence
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- NMF
- Index Term-Uncontrolled
- Non-negative matrix factorization
- Index Term-Uncontrolled
- Reinforcement learning
- Index Term-Uncontrolled
- Policy gradient
- Index Term-Uncontrolled
- Stein discrepancy
- Added Entry-Corporate Name
- Harvard University Engineering and Applied Sciences - Applied Math
- Host Item Entry
- Dissertations Abstracts International. 82-06B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:589241
detalle info
- Reserva
- 캠퍼스간 도서대출
- 서가에 없는 책 신고
- Mi carpeta
