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Distributed and Robust Statistical Learning
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Distributed and Robust Statistical Learning. |
| 개인저자 | Zhu, Ziwei. |
| 단체저자명 | Princeton University. Operations Research and Financial Engineering. |
| 발행사항 | [S.l.]: Princeton University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 268 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438047990 |
| 학위논문주기 | Thesis (Ph.D.)--Princeton University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Jianqing Fan. |
| 요약 | Decentralized and corrupted data are nowadays ubiquitous, which impose fundamental challenges for modern statistical analysis. Illustrative examples are massive and decentralized data produced by distributed data collection systems of giant IT c |
| 일반주제명 | Statistics. Operations research. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
