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Latent Representation and Sampling in Network: Application in Text Mining and Biology
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Saha, Tanay Kumar. |
| 단체저자명 | Purdue University. Computer Sciences. |
| 서명/저자사항 | Latent Representation and Sampling in Network: Application in Text Mining and Biology. |
| 발행사항 | [S.l.] : Purdue University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 291 p. |
| 소장본 주기 | School code: 0183. |
| ISBN | 9780438154506 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Mohammad Al Hasan |
| 요약 | In classical machine learning, hand-designed features are used for learning a mapping from raw data. However, human involvement in feature design makes the process expensive. Representation learning aims to learn abstract features directly from |
| 요약 | In this dissertation, we propose models for incorporating temporal information given as a collection of networks from subsequent time-stamps. The primary objective of our models is to learn a better abstract feature representation of nodes and e |
| 요약 | Besides applying to the network data, we also employ our models to incorporate extra-sentential information in the text domain for learning better representation of sentences. We build a context network of sentences to capture extra-sentential |
| 요약 | A problem with the abstract features that we learn is that they lack interpretability. In real-life applications on network data, for some tasks, it is crucial to learn interpretable features in the form of graphical structures. For this we need |
| 요약 | Finally, we show that we can use these frequent subgraph statistics and structures as features in various real-life applications. We show one application in biology and another in security. In both cases, we show that the structures and their st |
| 일반주제명 | Computer science. Artificial intelligence. Information science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997824 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027244 | 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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