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020 ▼a 9798837533747
035 ▼a (MiAaPQ)AAI29215817
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 519
1001 ▼a Liu, Hexuan.
24510 ▼a Dimensionality Reduction for Supervised and Unsupervised Learning: New Algorithms, Analysis and Application.
260 ▼a [S.l.]: ▼b University of Washington., ▼c 2022.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2022.
300 ▼a 139 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 84-02, Section: B.
500 ▼a Advisor: Aravkin, Aleksandr;Greenbaum, Anne.
5021 ▼a Thesis (Ph.D.)--University of Washington, 2022.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0250.
650 4 ▼a Applied mathematics.
650 4 ▼a Mathematics.
650 4 ▼a Computer science.
690 ▼a 0364
690 ▼a 0405
690 ▼a 0984
690 ▼a 0800
71020 ▼a University of Washington. ▼b Applied Mathematics.
7730 ▼t Dissertations Abstracts International ▼g 84-02B.
773 ▼t Dissertation Abstract International
790 ▼a 0250
791 ▼a Ph.D.
792 ▼a 2022
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16617607 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202302 ▼f 2023
990 ▼a ***1012033
991 ▼a E-BOOK