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Volumn 6, Issue 4, 2001, Pages 39-45

On learning of sigmoid neural networks

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EID: 2142811044     PISSN: 10762787     EISSN: 10990526     Source Type: Journal    
DOI: 10.1002/cplx.1041     Document Type: Article
Times cited : (9)

References (14)
  • 1
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    • L.G. Valiant. A theory of learnable. Comm. ACM, 1984, pp. 1134–1142.
    • (1984) Comm. ACM , pp. 1134-1142
    • Valiant, L.G.1
  • 2
    • 0343191207 scopus 로고    scopus 로고
    • Probability inequalities for sum of bounded random variables. Amer. Statistical Assoc. Math. Soc
    • W. Hoeffding. Probability inequalities for sum of bounded random variables. Amer. Statistical Assoc. Math. Soc. Transactions 17: 1961, pp. 277–364.
    • (1961) Transactions , vol.17 , pp. 277-364
    • Hoeffding, W.1
  • 3
    • 0030398846 scopus 로고    scopus 로고
    • Learning dynamical systems in a stationary environment
    • M.C. Campi and P.R. Kumar. Learning dynamical systems in a stationary environment. Proc. 31th IEEE Conf. Decision and Control. 16(2): 1996, pp. 2308–2311.
    • (1996) Proc. 31th IEEE Conf. Decision and Control , vol.16 , Issue.2 , pp. 2308-2311
    • Campi, M.C.1    Kumar, P.R.2
  • 10
    • 0000624821 scopus 로고
    • ϵ-Entropy and ϵ-capacity of sets in functional spaces
    • A.N. Kolmogorov and V.M. Tikhomirov. ϵ-Entropy and ϵ-capacity of sets in functional spaces. Amer. Math. Soc. Transl., 17: 1961, pp. 227–364.
    • (1961) Amer. Math. Soc. Transl. , vol.17 , pp. 227-364
    • Kolmogorov, A.N.1    Tikhomirov, V.M.2
  • 11
    • 0001024505 scopus 로고
    • On the uniform convergence of relative frequencies of events to their probabilities
    • V.N. Vapnik and A.Y. Chervonenkis. On the uniform convergence of relative frequencies of events to their probabilities. Theory of Probability and its Applications. 16(2): 1971, pp. 264–280.
    • (1971) Theory of Probability and its Applications , vol.16 , Issue.2 , pp. 264-280
    • Vapnik, V.N.1    Chervonenkis, A.Y.2
  • 12
    • 0000973081 scopus 로고    scopus 로고
    • Minimum complexity regression estimation with weakly dependent observation
    • D.S. Modha and E. Masry. Minimum complexity regression estimation with weakly dependent observation. IEEE Trans. Information Theory 42(6): Nov. 1996, pp. 2133–2145.
    • (1996) IEEE Trans. Information Theory , vol.42 , Issue.6 , pp. 2133-2145
    • Modha, D.S.1    Masry, E.2
  • 13
    • 0343191207 scopus 로고    scopus 로고
    • The sample complexity of pattern classificaiton with neural networks: The size of the weights is more important than the size of the network
    • P. Bartlett. The sample complexity of pattern classificaiton with neural networks: the size of the weights is more important than the size of the network. Amer. Statistical Assoc. Math. Soc. Transactions 17: 1996, pp. 277–364.
    • (1996) Amer. Statistical Assoc. Math. Soc. Transactions , vol.17 , pp. 277-364
    • Bartlett, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.