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Volumn 2, Issue , 1998, Pages 1201-1204

Adaptive regularization of neural networks using conjugate gradient

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE REGULARIZATION; COMPUTATIONAL COSTS; GENERALIZATION ABILITY; GRADIENT DESCENT; NUMERICAL EXPERIMENTS; REGULARIZATION PARAMETERS; REGULARIZATION SCHEMES; VALIDATION ERRORS;

EID: 84872508028     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.675486     Document Type: Conference Paper
Times cited : (13)

References (16)
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    • (1991) The Annals of Statistics , vol.19 , Issue.1 , pp. 1-141
    • Friedman, J.H.1
  • 6
    • 0025751820 scopus 로고
    • Approximation capabilities of multilayer feedforward networks
    • K. Hornik: "Approximation Capabilities of Multilayer Feedforward Networks," Neural Networks, vol. 4, pp. 251-257, 1991.
    • (1991) Neural Networks , vol.4 , pp. 251-257
    • Hornik, K.1
  • 7
    • 0004262735 scopus 로고
    • New York, New York: John Wiley k Sons
    • P.J. Huber: Robust Statistics, New York, New York: John Wiley k Sons, 1981.
    • (1981) Robust Statistics
    • Huber, P.J.1
  • 8
    • 0000900996 scopus 로고    scopus 로고
    • A bound on the error of cross validation using the approximation and estimation rates, with consequences for the training-test split
    • M. Kearns: "A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-Test Split," Neural Computation, vol. 9, no. 5, pp. 1143-1161, 1997.
    • (1997) Neural Computation , vol.9 , Issue.5 , pp. 1143-1161
    • Kearns, M.1
  • 9
    • 0029217844 scopus 로고
    • Empirical generalization assessment of neural network models
    • in F. Girosi et al. (eds.), V, Piscataway, New Jersey: IEEE
    • J. Larsen k L.K. Hansen: "Empirical Generalization Assessment of Neural Network Models," in F. Girosi et al. (eds.), Proc. IEEE Workshop on Neural Networks for Signal Processing V, Piscataway, New Jersey: IEEE, 1995, pp. 30-39.
    • (1995) Proc. IEEE Workshop on Neural Networks for Signal Processing , pp. 30-39
    • Larsen, J.1    Hansen, K.L.K.2
  • 10
    • 0029702985 scopus 로고    scopus 로고
    • Design and regularization of neural networks: The optimal use of a validation set
    • in S. Usui et al. (eds.), VI, Piscataway, New Jersey: IEEE
    • J. Larsen, L.K. Hansen, C. Svarer k M. Ohlsson: "Design and Regularization of Neural Networks: The Optimal Use of a Validation Set," in S. Usui et al. (eds.), Proc. IEEE Workshop on Neural Networks for Signal Processing VI, Piscataway, New Jersey: IEEE, 1996, pp. 62-71.
    • (1996) Proc. IEEE Workshop on Neural Networks for Signal Processing , pp. 62-71
    • Larsen, J.1    Hansen, L.K.2    Svarer, C.3    Ohlsson, K.M.4
  • 11
    • 84892173282 scopus 로고    scopus 로고
    • Adaptive regularization in neural network modeling
    • appears in G.B. Orr et al. (eds.) "Germany: Springer-Verlag
    • J. Larsen, C. Svarer, L.N. Andersen &L.K. Hansen: "Adaptive Regularization in Neural Network Modeling," appears in G.B. Orr et al. (eds.) "The Book of Tricks", Germany: Springer-Verlag, 1997. Available by ftp://eivind.mm.dtu.dk/ dist/1997/larsen.bot.ps.Z.
    • (1997) The Book of Tricks
    • Larsen, J.1    Svarer, C.2    Andersen, L.N.3    Hansen, L.K.4
  • 13
    • 84870580329 scopus 로고
    • in C, The Art of Scientific Computing, Cambridge, Massachusetts: Cambridge University Press, 2nd Edition
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    • Press, W.H.1    Teukolsky, S.A.2    Vetterling, W.T.3    Flannery, K.B.P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.