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Volumn 8, Issue 2, 1997, Pages 448-451

How initial conditions affect generalization performance in large networks

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EID: 0000036872     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.557701     Document Type: Article
Times cited : (59)

References (8)
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    • J. Moody et al., Eds. San Mateo, CA: Morgan Kaufmann
    • J. Moody, "The effective number of parameters: an analysis of generalization and regularization in nonlinear learning systems," in Advances in Neural Information Processing Systems 4, J. Moody et al., Eds. San Mateo, CA: Morgan Kaufmann, 1992.
    • (1992) Advances in Neural Information Processing Systems 4
    • Moody, J.1
  • 2
    • 0000729504 scopus 로고
    • Statistical theory of learning curves under entropic loss criterion
    • S. Amari and N. Murata, "Statistical theory of learning curves under entropic loss criterion," Neural Computa., vol. 5, pp. 140-153, 1993.
    • (1993) Neural Computa. , vol.5 , pp. 140-153
    • Amari, S.1    Murata, N.2
  • 3
    • 33747654591 scopus 로고
    • The emergence of generalization ability in learning
    • San Mateo, CA: Morgan Kaufmann
    • S. Solla, "The emergence of generalization ability in learning," Advances in Neural Information Processing Systems 5. San Mateo, CA: Morgan Kaufmann, 1993.
    • (1993) Advances in Neural Information Processing Systems 5
    • Solla, S.1
  • 5
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    • Learning from hints in neural networks
    • Y. Abu-Mostafa, "Learning from hints in neural networks," J. Complexity, vol. 6, pp. 192-198, 1990.
    • (1990) J. Complexity , vol.6 , pp. 192-198
    • Abu-Mostafa, Y.1
  • 6
    • 0001927486 scopus 로고
    • Temporal evaluation of generalization during learning in linear networks
    • P. Baldi and Y. Chauvin, "Temporal evaluation of generalization during learning in linear networks," Neural Computa., vol. 3, no. 3, pp. 589-603, 1991.
    • (1991) Neural Computa. , vol.3 , Issue.3 , pp. 589-603
    • Baldi, P.1    Chauvin, Y.2
  • 7
    • 0026679595 scopus 로고
    • Learning and convergence analysis of neural-type structured networks
    • M. Polycarpou and P. Ioannou, "Learning and convergence analysis of neural-type structured networks," IEEE Trans. Neural Networks, vol. 3, pp. 39-50, 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 39-50
    • Polycarpou, M.1    Ioannou, P.2
  • 8
    • 33644998173 scopus 로고
    • Generalization error and the expected network complexity
    • San Mateo, CA: Morgan Kaufmann
    • C. Ji, "Generalization error and the expected network complexity," Advances in Neural Information Processing Systems 5. San Mateo, CA: Morgan Kaufmann, 1993.
    • (1993) Advances in Neural Information Processing Systems 5
    • Ji, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.