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020 ▼a 9780438166639
035 ▼a (MiAaPQ)AAI10906669
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 658
1001 ▼a Mafusalov, Aleksandr.
24510 ▼a Risk Management Approaches in Distribution Approximation, Regression, and Classification.
260 ▼a [S.l.] : ▼b University of Florida., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 114 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
5021 ▼a Thesis (Ph.D.)--University of Florida, 2017.
520 ▼a One chapter of this study targets regression as a potential application. The concept of Conditional Value-at-Risk (CVaR) is used in various applications in uncertain environment. This chapter introduces CVaR (superquantile) norm for a random var
520 ▼a Another chapter of this study introduces a broadly applicable probabilistic characteristic, which allows formulating, in particular, binary classification problems. The new characteristic is called buffered probability of exceedance (bPOE). A ri
520 ▼a One more chapter of this study provides a new method of finding solutions to distribution approximation or density estimation problems as optimal solutions to a certain convex optimization problem. Entropy maximization with linear constraints (s
590 ▼a School code: 0070.
650 4 ▼a Industrial engineering.
690 ▼a 0546
71020 ▼a University of Florida. ▼b Industrial and Systems Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0070
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000781 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자