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Volumn 3173, Issue , 2004, Pages 252-257

A learning algorithm with gaussian regularizer for kernel neuron

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; NEURAL NETWORKS; NEURONS; SUPPORT VECTOR MACHINES;

EID: 35048858311     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28647-9_43     Document Type: Article
Times cited : (2)

References (18)
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    • Nonlinear Component Analysis as a Kernel Eignvalue Problem
    • Scholkopf, B., Smola, A., Muller, K.-R.: Nonlinear Component Analysis as a Kernel Eignvalue Problem. Neural Computation. 10(5)(1998) 1299-1319
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.-R.3
  • 8
    • 51249194645 scopus 로고
    • A Logical Calculus of the Ideas Immanent in Nervous Activity
    • McCulloch, W. S., Pitts, W.: A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics. 5(1943) 115-131
    • (1943) Bulletin of Mathematical Biophysics , vol.5 , pp. 115-131
    • McCulloch, W.S.1    Pitts, W.2
  • 9
    • 0022471098 scopus 로고
    • Learning Representations by Back-Propagating Errors
    • Rumelhart, D. E., Hinton, G. E., Williams, R. J.: Learning Representations by Back-Propagating Errors. Nature. 323(9)(1986) 533-536
    • (1986) Nature , vol.323 , Issue.9 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 14
    • 0034151613 scopus 로고    scopus 로고
    • Second Order Learning Algorithm with Squared Penalty Term
    • Saito, K., Nakano, R.: Second Order Learning Algorithm with Squared Penalty Term. Neural Computation. 12(3)(2000) 709-729
    • (2000) Neural Computation , vol.12 , Issue.3 , pp. 709-729
    • Saito, K.1    Nakano, R.2
  • 15
    • 0002439508 scopus 로고    scopus 로고
    • Regularization Networks and Support Vector Machines
    • Smola, A. J., Bartlett, P. L., Scholkopf, B., and Schuurmans, D. (editors), MIT Press, Cambridge MA
    • Evgeniou, T., Pontil M., Poggio, T.: Regularization Networks and Support Vector Machines. In: Smola, A. J., Bartlett, P. L., Scholkopf, B., and Schuurmans, D. (editors), Advances in Large Margin Classifiers. MIT Press, Cambridge MA (2000) 171-204
    • (2000) Advances in Large Margin Classifiers , pp. 171-204
    • Evgeniou, T.1    Pontil, M.2    Poggio, T.3
  • 16
    • 0001219859 scopus 로고
    • Regularization Theory and Neural Networks Architectures
    • Girosi, F., Jones, M., Poggio, T.: Regularization Theory and Neural Networks Architectures. Neural Computation. 7(2)(1995) 219-269
    • (1995) Neural Computation. , vol.7 , Issue.2 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 18
    • 0030130724 scopus 로고    scopus 로고
    • Structural Learning with Forgetting
    • Ishikawa, M.: Structural Learning with Forgetting. Neural Networks. 9(3)(1996) 509-521
    • (1996) Neural Networks , vol.9 , Issue.3 , pp. 509-521
    • Ishikawa, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.