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Volumn , Issue , 2007, Pages 881-888

Generalized regularized least-squares learning with predefined features in a Hilbert space

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL ERRORS; EMPIRICAL EVALUATIONS; HYPOTHESIS SPACE; KERNEL-BASED LEARNING; LEAST SQUARE; LINEAR COMBINATIONS; REGULARIZER; REPRESENTER THEOREM;

EID: 34547971649     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (20)
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  • 5
    • 0025056697 scopus 로고
    • Regularization algorithms for learning that are equivalent to multilayer networks
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    • Poggio, T.1    Girosi, F.2
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    • The mathematics of learning: Dealing with data
    • T. Poggio and S. Smale. The mathematics of learning: Dealing with data. Not. Am. Math. Soc, 50:537. 544, 2003.
    • (2003) Not. Am. Math. Soc , vol.50 , pp. 537-544
    • Poggio, T.1    Smale, S.2
  • 10
    • 0015000439 scopus 로고
    • Some results on Tchebycheffian spline functions
    • G. Kimeldorf and G. Wahba. Some results on Tchebycheffian spline functions. J. Math. Anal. Appl., 33:82.95, 1971.
    • (1971) J. Math. Anal. Appl. , vol.33 , pp. 82-95
    • Kimeldorf, G.1    Wahba, G.2
  • 11
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • F. Girosi, M.J. Jones, and T. Poggio. Regularization theory and neural networks architectures. Neural Comput., 7:219.269, 1995.
    • (1995) Neural Comput. , vol.7 , pp. 219-269
    • Girosi, F.1    Jones, M.J.2    Poggio, T.3
  • 14
    • 0035789613 scopus 로고    scopus 로고
    • Proximal support vector machine classifiers
    • G. Fung and O.L. Mangasarian. Proximal support vector machine classifiers. In KDD'01, 2001.
    • (2001) KDD'01
    • Fung, G.1    Mangasarian, O.L.2
  • 15
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • J.A.K. Suykens and J. Vandewalle. Least squares support vector machine classifiers. Neural Process. Lett., 9:293.300, 1999.
    • (1999) Neural Process. Lett. , vol.9 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 16
    • 0033477931 scopus 로고    scopus 로고
    • Spaces of distributions, interpolation by translates of a basis function and error estimates
    • W. Light and H. Wayne. Spaces of distributions, interpolation by translates of a basis function and error estimates. J. Numer. Math., 81:415.450, 1999.
    • (1999) J. Numer. Math. , vol.81 , pp. 415-450
    • Light, W.1    Wayne, H.2
  • 17
    • 0034775741 scopus 로고    scopus 로고
    • Fast solution of the radial basis function interpolation equations: Domain decomposition methods
    • R.K. Beatson, W.A. Light, and S. Billings. Fast solution of the radial basis function interpolation equations: Domain decomposition methods. SIAM J. Sci. Comput., 22:1717.1740, 2000.
    • (2000) SIAM J. Sci. Comput. , vol.22 , pp. 1717-1740
    • Beatson, R.K.1    Light, W.A.2    Billings, S.3
  • 19
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    • Probabilistic latent semantic analysis
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    • (1999) UAI'99
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  • 20
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    • Interpolation of scattered data: Distances, matrices, and conditionally positive deifnite functions
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    • Micchelli, C.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.