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Exploratory Model Analysis for Machine Learning
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Jiang, Biye. |
| 단체저자명 | University of California, Berkeley. Computer Science. |
| 서명/저자사항 | Exploratory Model Analysis for Machine Learning. |
| 발행사항 | [S.l.] : University of California, Berkeley., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 98 p. |
| 소장본 주기 | School code: 0028. |
| ISBN | 9780438324701 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: John Canny. |
| 요약 | Machine learning is growing in importance in many different fields. However, it is still very hard for users to tune hyper-parameters when optimizing their models, or perform a comprehensive and interpretable diagnosis for complex models like de |
| 요약 | We demonstrate the usage of our system in several real-world applications. For problems like advertisement optimization or clustering where multiple optimization objectives exist, users can incorporate secondary criteria into the model-generatio |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998235 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027652 | DP 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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