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Volumn 9, Issue , 2010, Pages 113-120

On the impact of kernel approximation on learning accuracy

Author keywords

[No Author keywords available]

Indexed keywords

DEGREE OF APPROXIMATION; KERNEL APPROXIMATION; KERNEL MATRICES; LEARNING ACCURACY; LOW RANK APPROXIMATIONS; REGULARIZATION ALGORITHMS; RIDGE REGRESSION;

EID: 84862278427     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (110)

References (22)
  • 7
    • 34249753618 scopus 로고
    • Support-vector networks
    • Corinna Cortes and Vladimir Vapnik. Support-Vector Networks. Machine Learning, 20(3):273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 29244453931 scopus 로고    scopus 로고
    • On the Nyström method for approximating a Gram matrix for improved kernel-based learning
    • Petros Drineas and Michael W. Mahoney. On the Nyström method for approximating a Gram matrix for improved kernel-based learning. Journal of Machine Learning Research, 6:2153-2175, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 2153-2175
    • Drineas, P.1    Mahoney, M.W.2
  • 9
    • 0041494125 scopus 로고    scopus 로고
    • Efficient SVM training using low-rank kernel representations
    • Shai Fine and Katya Scheinberg. Efficient SVM training using low-rank kernel representations. Journal of Machine Learning Research, 2:243-264, 2002.
    • (2002) Journal of Machine Learning Research , vol.2 , pp. 243-264
    • Fine, S.1    Scheinberg, K.2
  • 18
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Bernhard Schölkopf, Alexander Smola, and Klaus-Robert Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10(5):1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.