가야대학교 분성도서관
주메뉴
자료검색
- Home
- 상세정보
상세정보
부가기능
Provable and Practical Algorithms for Non-Convex Problems in Machine Learning
상세 프로파일
| 자료유형 | E-Book |
|---|---|
| 개인저자 | Yuan, Yang. |
| 단체저자명 | Cornell University. Computer Science. |
| 서명/저자사항 | Provable and Practical Algorithms for Non-Convex Problems in Machine Learning. |
| 발행사항 | [S.l.] : Cornell University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 204 p. |
| 소장본 주기 | School code: 0058. |
| ISBN | 9780438026636 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Robert David Kleinberg. |
| 요약 | Machine learning has become one of the most exciting research areas in the world, with various applications. However, there exists a noticeable gap between theory and practice. On one hand, a simple algorithm like stochastic gradient descent (SG |
| 요약 | This dissertation is about bridging the gap between theory and practice from two directions. The first direction is "practice to theory", i.e., to explain and analyze the existing algorithms and empirical observations in machine learning. Along |
| 요약 | The other direction is "theory to practice", i.e., using theoretical tools to obtain new, better and practical algorithms. Along this direction, we introduce a new algorithm Harmonica that uses Fourier analysis and compressed sensing for tuning |
| 일반주제명 | Computer science. Artificial intelligence. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998133 |
소장정보
- 소장정보
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027551 | 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
|
카피라이터
