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Volumn 7, Issue , 2006, Pages 855-876

Infinite-σ limits for Tikhonov regularization

Author keywords

Gaussian kernel; Kernel machines; Theory; Tikhonov regularization

Indexed keywords

LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; POLYNOMIALS; THEOREM PROVING; THERMAL EXPANSION;

EID: 33646543721     PISSN: 15337928     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (12)
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    • Aronszajn, N.1
  • 3
    • 0034419669 scopus 로고    scopus 로고
    • Regularization networks and support vector machines
    • Theodoras Evgeniou, Massimiliano Pontil, and Tomaso Poggio. Regularization networks and support vector machines. Adv. In Comp. Math., 13(1): 1-50, 2000.
    • (2000) Adv. in Comp. Math. , vol.13 , Issue.1 , pp. 1-50
    • Evgeniou, T.1    Pontil, M.2    Poggio, T.3
  • 4
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • Federico Girosi, Michael Jones, and Tomaso Poggio. Regularization theory and neural networks architectures. Neural Computation, 7(2):219-269, 1995.
    • (1995) Neural Computation , vol.7 , Issue.2 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 5
    • 0037822222 scopus 로고    scopus 로고
    • Asymptotic behaviors of support vector machines with Gaussian kernel
    • S. Sathiya Keerthi and Chih-Jen Lin. Asymptotic behaviors of support vector machines with Gaussian kernel. Neural Computation, 15(7): 1667-1689, 2003.
    • (2003) Neural Computation , vol.15 , Issue.7 , pp. 1667-1689
    • Keerthi, S.S.1    Lin, C.-J.2
  • 6
    • 33646569637 scopus 로고    scopus 로고
    • Asymptotics of gaussian regularized least squares
    • Y. Weiss, B. Schölkopf, and J. Platt, editors. MIT Press, Cambridge, MA
    • Ross A. Lippert and Ryan M. Rifkin. Asymptotics of gaussian regularized least squares. In Y. Weiss, B. Schölkopf, and J. Platt, editors, Adv. in Neural Info. Proc. Sys. 18. MIT Press, Cambridge, MA, 2006.
    • (2006) Adv. in Neural Info. Proc. Sys. , vol.18
    • Lippert, R.A.1    Rifkin, R.M.2
  • 10
    • 0242557948 scopus 로고    scopus 로고
    • On the relation between the GACV and Joachims' ξα method for tuning support vector machines, with extensions to the nonstandard case
    • U. Wisconsin department of Statistics. URL citeseer.ist.psu.edu/ wahba01relation.html
    • Grace Wahba, Yi Lin, Yoonkyung Lee, and Hao Zhang. On the relation between the GACV and Joachims' ξα method for tuning support vector machines, with extensions to the nonstandard case. Technical Report 1039, U. Wisconsin department of Statistics, 2001. URL citeseer.ist.psu.edu/ wahba01relation.html.
    • (2001) Technical Report , vol.1039
    • Wahba, G.1    Lin, Y.2    Lee, Y.3    Zhang, H.4
  • 11
    • 84898938795 scopus 로고    scopus 로고
    • Efficient kernel machines using the improved fast gauss transform
    • Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, Cambridge, MA. MIT Press
    • Changjiang Yang, Ramani Duraiswami, and Larry Davis. Efficient kernel machines using the improved fast gauss transform. In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, Advances in Neural Information Processing Systems 17, pages 1561-1568, Cambridge, MA, 2005. MIT Press.
    • (2005) Advances in Neural Information Processing Systems , vol.17 , pp. 1561-1568
    • Yang, C.1    Duraiswami, R.2    Davis, L.3
  • 12
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    • The covering number in learning theory
    • D.-X. Zhou. The covering number in learning theory. J. of Complexity, 18:739-767, 2002.
    • (2002) J. of Complexity , vol.18 , pp. 739-767
    • Zhou, D.-X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.