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Volumn , Issue , 2004, Pages

Sparseness of support vector machines-some asymptotically sharp bounds

Author keywords

[No Author keywords available]

Indexed keywords

BAYES RISK; DECISION FUNCTIONS; GAUSSIANS; LOWER AND UPPER BOUNDS; RBF KERNELS; SHARP BOUNDS; STANDARD TYPE; SUPPORT VECTOR;

EID: 84898949402     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (47)

References (12)
  • 1
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20:1995, 273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 2
  • 3
    • 5844297152 scopus 로고
    • Theory of reproducing kernels
    • N. Aronszajn. Theory of reproducing kernels. Trans. Amer. Math. Soc., 68:337-404, 1950.
    • (1950) Trans. Amer. Math. Soc. , vol.68 , pp. 337-404
    • Aronszajn, N.1
  • 7
    • 0010786475 scopus 로고    scopus 로고
    • On the influence of the kernel on the consistency of support vector machines
    • I. Steinwart. On the influence of the kernel on the consistency of support vector machines. Journal of Machine Learning Research, 2:67-93, 2001.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 67-93
    • Steinwart, I.1
  • 9
    • 21844437252 scopus 로고    scopus 로고
    • Consistency of support vector machines and other regularized kernel machine
    • to appear
    • I. Steinwart. Consistency of support vector machines and other regularized kernel machine. IEEE Transactions on Information Theory, to appear.
    • IEEE Transactions on Information Theory
    • Steinwart, I.1
  • 11
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • F. Girosi, M. Jones, and T. Poggio. Regularization theory and neural networks architectures. Neural Computation, 7:219-269, 1995.
    • (1995) Neural Computation , vol.7 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 12
    • 84899031744 scopus 로고    scopus 로고
    • Sparsity of data representation of optimal kernel machine and leaveone- out estimator
    • T.K. Leen, T.G. Dietterich, and V. Tresp, editors, MIT Press
    • A. Kowalczyk. Sparsity of data representation of optimal kernel machine and leaveone- out estimator. In T.K. Leen, T.G. Dietterich, and V. Tresp, editors, Advances in Neural Information Processing Systems 13, pages 252-258. MIT Press, 2001.
    • (2001) Advances in Neural Information Processing Systems , vol.13 , pp. 252-258
    • Kowalczyk, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.