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Volumn 2709, Issue , 2003, Pages 227-235

A study of ensemble of hybrid networks with strong regularization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PARAMETER ESTIMATION;

EID: 35248852064     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44938-8_23     Document Type: Article
Times cited : (13)

References (18)
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    • Automatic model selection in a hybrid perceptron/radial network
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    • S. Cohen and N. Intrator. Automatic model selection in a hybrid perceptron/radial network. Information Fusion Journal, 3(4), December 2002.
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    • Cohen, S.1    Intrator, N.2
  • 8
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    • The use of multiple measurements in taxonomic problems
    • R. A. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179-188, 1936.
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  • 9
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    • Square unit augmented, radially extended, multilayer percpetrons
    • G. B. Orr and K. Müller, editors, Springer
    • G.W. Flake. Square unit augmented, radially extended, multilayer percpetrons. In G. B. Orr and K. Müller, editors, Neural Networks: Tricks of the Trade, pages 145-163. Springer, 1998.
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    • Freund, Y.1    Schapire, R.E.2
  • 12
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    • Keeping neural networks simple by minimizing the description length of the weights
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    • G. E. Hinton and D. van Camp. Keeping neural networks simple by minimizing the description length of the weights. In Sixth ACM conference on Computational Learning Theory, pages 5-13, July 1993.
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    • Hinton, G.E.1    Van Camp, D.2
  • 13
    • 0000926506 scopus 로고
    • When networks disagree: Ensemble method for neural networks
    • R. J. Mammone, editor, Chapman-Hall
    • M. P. Perrone and Leon N Cooper. When networks disagree: Ensemble method for neural networks. In R. J. Mammone, editor, Neural Networks for Speech and Image processing. Chapman-Hall, 1993.
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  • 14
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    • Bootstrapping with noise: An effective regularization technique
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