자료유형 | E-Book |
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개인저자 | Ye, Jianbo. |
단체저자명 | The Pennsylvania State University. Information Sciences and Technology. |
서명/저자사항 | Computational Modeling of Compositional and Relational Data Using Optimal Transport and Probabilistic Models. |
발행사항 | [S.l.] : The Pennsylvania State University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 179 p. |
소장본 주기 | School code: 0176. |
ISBN | 9780438136175 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A.
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요약 | Quantitative researchers often view our world as a large collection of data generated and organized by the structures and functions of society and technology. Those data are usually presented and accessed with hierarchies, compositions, and rela |
요약 | The goal of this thesis research is to introduce new mathematical models and computational methods for analyzing large-scale compositional and relational data, as well as to validate the models' usefulness in solving real-world problems. We begi |
일반주제명 | Information science. Computer science. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12A(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000749 |