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Volumn 2364, Issue , 2002, Pages 98-107

Forward and backward selection in regression hybrid network

Author keywords

Clustering; Hybrid network architecture; Model selection; Nested models; Regularization; SMLP

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 84947579671     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45428-4_10     Document Type: Conference Paper
Times cited : (5)

References (16)
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    • Donoho, D.L.1    Johnstone, I.M.2
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    • 0002717824 scopus 로고    scopus 로고
    • Square unit augmented, radially extended, multilayer percpetrons
    • In G. B. Orr and K. Müller, editors
    • [6] 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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    • Flake, G.W.1
  • 7
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    • Mutltivariate adaptive regression splines
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    • (1991) The Annals of Statistics , vol.19 , pp. 1-141
    • Friedman, J.H.1
  • 8
    • 0001234705 scopus 로고
    • Second order derivatives for network pruning: Optimal brain surgeon
    • In C. L. Giles, S. J. Hanson, and J. D. Cowan, editors, Morgan Kaufmann, San Mateo, CA
    • [8] B. Hassibi and D. G. Stork. Second order derivatives for network pruning: Optimal brain surgeon. In C. L. Giles, S. J. Hanson, and J. D. Cowan, editors, Advances in Neural Information Processing Systems, volume 5. Morgan Kaufmann, San Mateo, CA, 1993.
    • (1993) Advances in Neural Information Processing Systems , vol.5
    • Hassibi, B.1    Stork, D.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.