가야대학교 분성도서관
주메뉴
자료검색
- Home
- 상세정보
상세정보
부가기능
Information Theory, Dimension Reduction and Density Estimation
상세 프로파일
| 자료유형 | E-Book |
|---|---|
| 개인저자 | Saha, Sujayam. |
| 단체저자명 | University of California, Berkeley. Statistics. |
| 서명/저자사항 | Information Theory, Dimension Reduction and Density Estimation. |
| 발행사항 | [S.l.] : University of California, Berkeley., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 160 p. |
| 소장본 주기 | School code: 0028. |
| ISBN | 9780438324534 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Bin Yu |
| 요약 | This thesis documents three different contributions in statistical learning theory. They were developed with careful emphasis on addressing the demands of modern statistical analysis upon large-scale modern datasets. The contributions concern th |
| 요약 | In Chapter 2, I describe the development of an unifying treatment of the study of inequalities between f-divergences, which are a general class of divergences between probability measures which include as special cases many commonly used diverge |
| 요약 | In Chapter 3, I describe the development of a new dimension reduction technique specially suited for interpretable inference in supervised learning problems involving large-dimensional data. This new technique, Supervised Random Projections (SRP |
| 요약 | In Chapter 4, I describe the development of several adaptivity properties of the Non-Parametric Maximum Likelihood Estimator (NPMLE) in the problem of estimating an unknown gaussian location mixture density based on independent identically distr |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998167 |
소장정보
- 소장정보
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027585 | 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
|
카피라이터
