자료유형 | E-Book |
---|---|
개인저자 | Brinda, William David. |
단체저자명 | Yale University. |
서명/저자사항 | Adaptive Estimation with Gaussian Radial Basis Mixtures. |
발행사항 | [S.l.] : Yale University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 113 p. |
소장본 주기 | School code: 0265. |
ISBN | 9780438191433 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Andrew R. Barron. |
요약 | By considering a rich class of remodels with appropriately devised penalties, density estimators call be designed to naturally adapt to the complexity revealed by the data. This dissertation explores approximation, estimation, and computation pr |
일반주제명 | Statistics. Mathematics. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-11B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000803 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00025711 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |