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Algorithms for Statistical and Interactive Learning Tasks
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Tosh, Christopher. |
| 단체저자명 | University of California, San Diego. Computer Science. |
| 서명/저자사항 | Algorithms for Statistical and Interactive Learning Tasks. |
| 발행사항 | [S.l.] : University of California, San Diego., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 252 p. |
| 소장본 주기 | School code: 0033. |
| ISBN | 9780438169203 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Sanjoy Dasgupta. |
| 요약 | In the first part of this thesis, we examine the computational complexity of three fundamental statistical tasks: maximum likelihood estimation, maximum a posteriori estimation, and approximate posterior sampling. We show that maximum likelihood |
| 요약 | In the second part of this thesis, we explore the behavior of a common sampling algorithm known as the Gibbs sampler. We show that in the context of Bayesian Gaussian mixture models, this algorithm can take a very long time to converge, even whe |
| 요약 | In the third part of this thesis, we consider learning problems in which the learner is allowed to solicit interaction from a user. In the context of classification, we present an efficient active learning algorithm whose performance is guarante |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998774 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00028586 | DP 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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