SCOPUS 정보 검색 플랫폼

Neurocomputing

Volumn 71, Issue 13-15, 2008, Pages 3020-3025

Training robust support vector machine with smooth Ramp loss in the primal space

(3) Wang, Lei a Jia, Huading a,b Li, Jie c

a SOUTHWESTERN UNIVERSITY OF FINANCE AND ECONOMICS (China)

b SICHUAN UNIVERSITY (China)

c National Key Laboratory of Space Microwave Technology (China)

Author keywords

Concave convex procedure; Smooth Ramp loss; Support vector machines

Indexed keywords

CONVEX OPTIMIZATION; STATISTICS; VECTOR SPACES; VECTORS;

CONCAVE-CONVEX PROCEDURE; CONVERGENCE PROPERTIES; GENERALIZATION PERFORMANCE; NEWTON-TYPE ALGORITHMS; NONCONVEX OPTIMIZATION; SMOOTH RAMP LOSS; SYNTHETIC AND REAL DATA;

SUPPORT VECTOR MACHINES;

ARTICLE; CONTROLLED STUDY; DATA BASE; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 56449098486 PISSN: 09252312 EISSN: None Source Type: Journal
DOI: 10.1016/j.neucom.2007.12.032 Document Type: Article

Times cited : (64)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.