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020 ▼a 9780438168695
035 ▼a (MiAaPQ)AAI10823329
035 ▼a (MiAaPQ)umn:19195
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 004
1001 ▼a Ubaru, Shashanka.
24510 ▼a Algorithmic Advances in Learning from Large Dimensional Matrices and Scientific Data.
260 ▼a [S.l.] : ▼b University of Minnesota., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 211 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Yousef Saad.
5021 ▼a Thesis (Ph.D.)--University of Minnesota, 2018.
520 ▼a This thesis is devoted to answering a range of questions in machine learning and data analysis related to large dimensional matrices and scientific data. Two key research objectives connect the different parts of the thesis: (a) development of f
520 ▼a The first of the three parts of this thesis explores numerical linear algebra tools to develop efficient algorithms for machine learning with reduced computation cost and improved scalability. Here, we first develop inexpensive algorithms combin
520 ▼a The second part of this thesis focuses on exploring novel non-traditional applications of information theory and codes, particularly in solving problems related to machine learning and high dimensional data analysis. Here, we first propose new m
520 ▼a The third part of the thesis focuses on devising robust and stable learning algorithms, which yield results that are interpretable from specific scientific application viewpoint. We present Union of Intersections (UoI), a flexible, modular, and
590 ▼a School code: 0130.
650 4 ▼a Computer science.
650 4 ▼a Mathematics.
690 ▼a 0984
690 ▼a 0405
71020 ▼a University of Minnesota. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0130
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998557 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자