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Topics on Euclidean Distance Matrix and Unsupervised Ensemble Learning
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Zhang, Luwan. |
| 단체저자명 | The University of Wisconsin - Madison. Statistics. |
| 서명/저자사항 | Topics on Euclidean Distance Matrix and Unsupervised Ensemble Learning. |
| 발행사항 | [S.l.] : The University of Wisconsin - Madison., 2017 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2017 |
| 형태사항 | 103 p. |
| 소장본 주기 | School code: 0262. |
| ISBN | 9780438373914 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Ming Yuan. |
| 요약 | This thesis is devoted to the study of Euclidean distance matrix and unsupervised ensemble learning under the high-dimensional setting. It consists of three pieces of work, focusing on proposing a shrinkage estimator of Euclidean distance matrix |
| 요약 | In the first part of thesis, we discuss the problem of recovering an Euclidean distance matrix from noisy or imperfect observations of pairwise dissimilarity scores between a set of objects. This problem naturally arises in many different contex |
| 요약 | As a sequel of Chapter 1, the second part pays attention to conducting statistical analyses after mapping a set of objects from an arbitrary domain to the Euclidean space. In this chapter, we specifically consider the generalization of ANOVA mod |
| 요약 | The third part mainly concerns developing a new ensemble method for classification problems when the true class labels are not available (a.k.a unsupervised setting). The motivation arises from an intrinsic drawback of crowdsourcing, in which an |
| 요약 | Finally, we conclude the thesis in Chapter 4. |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14996627 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00028961 | 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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