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Volumn , Issue , 1998, Pages 343-349

From regularization operators to support vector kernels

Author keywords

[No Author keywords available]

Indexed keywords

HILBERT-SCHMIDT KERNEL; POSITIVE DEFINITE FUNCTION; RADIAL BASIS FUNCTIONS; REGULARIZATION NETWORKS; SUPPORT VECTOR;

EID: 84879910175     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (53)

References (13)
  • 1
    • 0000874557 scopus 로고
    • Theoretical foundations of the potential function method in pattern recognition learning
    • M. A. Aizerman, E. M. Braverman, and L. I. Rozonoer. Theoretical foundations of the po-tential function method in pattern recognition learning. Automation and Remote Control, 25:821-837, 1964.
    • (1964) Automation and Remote Control , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, E.M.2    Rozonoer, L.I.3
  • 2
    • 0000463437 scopus 로고
    • Interpolation and approximation by radial and related functions
    • C.K. Chui, L.L. Schumaker, and D.J. Ward, editors, Academic Press, New York
    • N. Dyn. Interpolation and approximation by radial and related functions. In C.K. Chui, L.L. Schumaker, and D.J. Ward, editors, Approximation Theory, VI, pages 211-234. Academic Press, New York, 1991.
    • (1991) Approximation Theory , vol.6 , pp. 211-234
    • Dyn, N.1
  • 5
    • 84966244353 scopus 로고
    • Multivariate interpolation and conditionally positive definite functions II
    • W.R. Madych and S.A. Nelson. Multivariate interpolation and conditionally positive definite functions. II. Mathematics of Computation, 54(189):211-230, 1990.
    • (1990) Mathematics of Computation , vol.54 , Issue.189 , pp. 211-230
    • Madych, W.R.1    Nelson, S.A.2
  • 6
    • 34250122797 scopus 로고
    • Interpolation of scattered data: Distance matrices and conditionally positive definite functions
    • C. A. Micchelli. Interpolation of scattered data: distance matrices and conditionally positive definite functions. Constructive Approximation, 2:11 -22, 1986.
    • (1986) Constructive Approximation , vol.2 , pp. 11-22
    • Micchelli, C.A.1
  • 7
    • 0001743201 scopus 로고
    • Metric spaces and completely monotone functions
    • I.J. Schoenberg. Metric spaces and completely monotone functions. Ann. of Math., 39: 811-841, 1938.
    • (1938) Ann. of Math. , vol.39 , pp. 811-841
    • Schoenberg, I.J.1
  • 8
    • 0002845829 scopus 로고
    • Extracting support data for a given task
    • U. M. Fayyad and R. Uthurusamy, editors, Menlo Park, AAAI Press
    • B. Scholkopf, C. Burges, and V. Vapnik. Extracting support data for a given task. In U. M. Fayyad and R. Uthurusamy, editors, Proc. KDD I, Menlo Park, 1995. AAAI Press.
    • (1995) Proc. KDD I
    • Scholkopf, B.1    Burges, C.2    Vapnik, V.3
  • 10
    • 24044515976 scopus 로고    scopus 로고
    • On a kernel-based method for pattern recognition, regression, approximation and operator inversion
    • see also, URL
    • A. J. Smola and B. Scholkopf. On a kernel-based method for pattern recognition, regression, approximation and operator inversion. Algorithmica, 1998. see also GMD Technical Report 1997-1064, URL: Http://svm.first.gmd.de/ papers.html.
    • (1998) Algorithmica
    • Smola, A.J.1    Scholkopf, B.2
  • 12
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation, and signal processing
    • San Mateo, CA
    • V. Vapnik, S. Golowich, and A. Smola. Support vector method for function approximation, regression estimation, and signal processing. In NIPS 9, San Mateo, CA, 1997.
    • (1997) NIPS , vol.9
    • Vapnik, V.1    Golowich, S.2    Smola, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.