메뉴 건너뛰기




Volumn 4, Issue , 2003, Pages 880-883

The kernel mutual information

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CORRELATION METHODS; PROBABILITY DISTRIBUTIONS;

EID: 0141521533     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (14)
  • 2
    • 1942482010 scopus 로고    scopus 로고
    • Learning graphical models with mercer kernels
    • to appear
    • F. Bach and M. Jordan. Learning graphical models with mercer kernels. In NIPS 2002 (to appear).
    • (2002) NIPS 2002
    • Bach, F.1    Jordan, M.2
  • 3
    • 0011812771 scopus 로고    scopus 로고
    • Kernel independent component analysis
    • F. Bach and M. Jordan. Kernel independent component analysis. JMLR, (3): 1-48, 2002.
    • (2002) JMLR , Issue.3 , pp. 1-48
    • Bach, F.1    Jordan, M.2
  • 6
    • 0141692489 scopus 로고    scopus 로고
    • Efficient SVM training using low-rank kernel representation
    • IBM Watson Research Center, New York
    • S. Fine and K. Scheinberg. Efficient SVM training using low-rank kernel representation. Technical report, IBM Watson Research Center, New York, 2000.
    • (2000) Technical Report
    • Fine, S.1    Scheinberg, K.2
  • 8
    • 0141804070 scopus 로고    scopus 로고
    • Max Planck Institute for Biological Cybernetics. Forthcoming (draft available on request)
    • A. Gretton, R. Herbrich, and A. Smola. The Kernel Mutual Information. Max Planck Institute for Biological Cybernetics, 2002. Forthcoming (draft available on request).
    • (2002) The Kernel Mutual Information
    • Gretton, A.1    Herbrich, R.2    Smola, A.3
  • 11
    • 0141469302 scopus 로고    scopus 로고
    • Master's thesis, Technical University of Berlin
    • M. Kuss. Kernel multivariate analysis. Master's thesis, Technical University of Berlin, 2001.
    • (2001) Kernel Multivariate Analysis
    • Kuss, M.1
  • 13
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319.
    • Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.