상세정보
Export to Refworks부가기능
Adaptive Estimation with Gaussian Radial Basis Mixtures
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Adaptive Estimation with Gaussian Radial Basis Mixtures. |
| 개인저자 | Brinda, William David. |
| 단체저자명 | Yale University. |
| 발행사항 | [S.l.]: Yale University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 113 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438191433 |
| 학위논문주기 | Thesis (Ph.D.)--Yale University, 2018. |
| 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 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
