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Volumn , Issue , 2001, Pages

The kernel trick for distances

Author keywords

[No Author keywords available]

Indexed keywords

SUPPORT VECTOR MACHINES;

EID: 84898990165     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (324)

References (15)
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    • Theoretical foundations of the potential function method in pattern recognition learning
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    • (1964) Autom. and Remote Contr. , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, E.M.2    Rozonoér, L.I.3
  • 4
    • 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(2):219-269, 1995.
    • (1995) Neural Computation , vol.7 , Issue.2 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 6
    • 0001500115 scopus 로고
    • Functions of positive and negative type and their connection with the theory of integral equations
    • J. Mercer. Functions of positive and negative type and their connection with the theory of integral equations. Philos. Trans. Roy. Soc. London, A 209:415-446, 1909.
    • (1909) Philos. Trans. Roy. Soc. London , vol.A209 , pp. 415-446
    • Mercer, J.1
  • 7
    • 84968492782 scopus 로고
    • Metric spaces and positive definite functions
    • I. J. Schoenberg. Metric spaces and positive definite functions. Trans. Amer. Math. Soc, 44:522-536, 1938.
    • (1938) Trans. Amer. Math. Soc , vol.44 , pp. 522-536
    • Schoenberg, I.J.1
  • 9
    • 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, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3
  • 10
    • 84898946392 scopus 로고    scopus 로고
    • Semiparametric support vector and linear programming machines
    • M.S. Keams, S.A. Solla, and DA. Cohn, editors Cambridge, MA MIT Press
    • A. Smola, T. Frieß, and B. Schölkopf. Semiparametric support vector and linear programming machines. In M.S. Keams, S.A. Solla, and DA. Cohn, editors, Advances in Neural Information Processing Systems 11, pages 585-591, Cambridge, MA, 1999. MIT Press.
    • (1999) Advances in Neural Information Processing Systems , vol.11 , pp. 585-591
    • Smola, A.1    Frieß, T.2    Schölkopf, B.3
  • 11
    • 0032098361 scopus 로고    scopus 로고
    • The connection between regularization operators and support vector kernels
    • A. Smola, B. Schölkopf, and K.-R. Müller. The connection between regularization operators and support vector kernels. Neural Networks, 11:637-649, 1998.
    • (1998) Neural Networks , vol.11 , pp. 637-649
    • Smola, A.1    Schölkopf, B.2    Müller, K.-R.3
  • 15
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    • C. Watkins, 2000. personal communication
    • C. Watkins, 2000. personal communication.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.