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Volumn , Issue , 2010, Pages 2889-2892

Nonlinear combination of multiple kernels for support vector machines

Author keywords

Hadamard product; Multiple kernel learning; Semi definite programming; Support vector machine

Indexed keywords

DATA SETS; EMPIRICAL STUDIES; HADAMARD PRODUCTS; INTERIOR POINT ALGORITHM; KERNEL METHODS; LINEAR COMBINATIONS; MULTIPLE KERNEL LEARNING; MULTIPLE KERNELS; NONLINEAR COMBINATION; NONLINEAR INTERACTIONS; PATTERN RECOGNITION PROBLEMS; SEMI-DEFINITE PROGRAMMING; SINGLE KERNEL;

EID: 78149490158     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.708     Document Type: Conference Paper
Times cited : (19)

References (11)
  • 3
    • 14344252374 scopus 로고    scopus 로고
    • Multiple kernel learning, conic duality, and the SMO algorithm
    • F. Bach, G. Lanckriet, M. Jordan. Multiple kernel learning, conic duality, and the SMO algorithm. ICML, 2004.
    • (2004) ICML
    • Bach, F.1    Lanckriet, G.2    Jordan, M.3
  • 6
    • 56449124689 scopus 로고    scopus 로고
    • Localized mulitple kernel learning
    • M. Gönen, E. Alpaydin. Localized mulitple kernel learning. ICML, 2008.
    • (2008) ICML
    • Gönen, M.1    Alpaydin, E.2
  • 10
    • 57749098891 scopus 로고    scopus 로고
    • Improving efficiency of multi-kernel learning for support vector machines
    • C. Yeh, W. Su, S. Lee. Improving efficiency of multi-kernel learning for support vector machines. ICMLC, 2008.
    • (2008) ICMLC
    • Yeh, C.1    Su, W.2    Lee, S.3
  • 11
    • 0040223408 scopus 로고
    • Interior point polynomial methods in convex programming: Theory and applications
    • Y. Nesterov, A. Nemirovsky. Interior point polynomial methods in convex programming: Theory and applications. SIAM, 1994.
    • (1994) SIAM
    • Nesterov, Y.1    Nemirovsky, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.