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Volumn , Issue , 1997, Pages 134-140

For valid generalization, the size of the weights is more important than the size of the network

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ESTIMATES; FEED-FORWARD NETWORK; GENERALIZATION PERFORMANCE; INPUT DIMENSIONS; MISCLASSIFICATION PROBABILITY; PATTERN CLASSIFICATION PROBLEMS; TRAINING EXAMPLE; TRAINING PATTERNS;

EID: 84898957627     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (221)

References (13)
  • 4
    • 0001160588 scopus 로고
    • What size net gives valid generalization?
    • E. Baum and D. Haussler. What size net gives valid generalization? Neural Computation, 1(1):151-160, 1989.
    • (1989) Neural Computation , vol.1 , Issue.1 , pp. 151-160
    • Baum, E.1    Haussler, D.2
  • 5
    • 0024750852 scopus 로고
    • Learnability and the vapnik-chervonenkis dimension
    • A. Blumer, A. Ehrenfeucht, D. Haussler, and M. K. Warmuth. Learnability and the Vapnik-Chervonenkis dimension. J. ACM, 36(4):929-965, 1989.
    • (1989) J. ACM , vol.36 , Issue.4 , pp. 929-965
    • Blumer, A.1    Ehrenfeucht, A.2    Haussler, D.3    Warmuth, M.K.4
  • 7
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural net and other learning applications
    • D. Haussler. Decision theoretic generalizations of the PAC model for neural net and other learning applications. Inform. Comput., 100(1):78-150, 1992.
    • (1992) Inform. Comput. , vol.100 , Issue.1 , pp. 78-150
    • Haussler, D.1
  • 10
    • 0010687655 scopus 로고
    • Vapnik-chervonenkis dimension of neural nets
    • M. A. Arbib, editor, MIT Press, Cambridge
    • W. Maass. Vapnik-Chervonenkis dimension of neural nets. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 1000-1003. MIT Press, Cambridge, 1995.
    • (1995) The Handbook of Brain Theory and Neural Networks , pp. 1000-1003
    • Maass, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.