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Volumn , Issue , 1999, Pages 410-416

Global optimisation of neural network models via sequential sampling

Author keywords

[No Author keywords available]

Indexed keywords

GLOBAL OPTIMIZATION; PROBABILITY DISTRIBUTIONS; SIGNAL PROCESSING;

EID: 21244478473     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (8)
  • 2
    • 0039224399 scopus 로고    scopus 로고
    • Hierarchical Bayesian-Kalman models for regularisation and ARD in sequential learning
    • Cambridge University
    • de Freitas, J. F. G., Niranjan, M. and Gee, A. H. (1997). Hierarchical Bayesian-Kalman models for regularisation and ARD in sequential learning, Technical Report CUED/F-INFENG/TR 301, Cambridge University, http://svr-www.eng.cam.ac.uk/~jfgf.
    • (1997) Technical Report CUED/F-INFENG/TR 301
    • De Freitas, J.F.G.1    Niranjan, M.2    Gee, A.H.3
  • 3
    • 1942437644 scopus 로고    scopus 로고
    • Regularisation in sequential learning algorithms
    • M. I. Jordan, M. J. Kearns and S. A. Solla (eds) MIT Press
    • de Freitas, J. F. G., Niranjan, M. and Gee, A. H. (1998). Regularisation in sequential learning algorithms, in M. I. Jordan, M. J. Kearns and S. A. Solla (eds), Advances in Neural Information Processing Systems, Vol. 10, MIT Press.
    • (1998) Advances in Neural Information Processing Systems , vol.10
    • De Freitas, J.F.G.1    Niranjan, M.2    Gee, A.H.3
  • 4
    • 0003838906 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods for optimisation of neural network models
    • Cambridge University
    • de Freitas, J. F. G., Niranjan, M., Gee, A. H. and Doucet, A. (1998). Sequential Monte Carlo methods for optimisation of neural network models, Technical Report CUED/F-INFENG/TR 328, Cambridge University, http://svr-www.eng.cam.ac.uk/~jfgf.
    • (1998) Technical Report CUED/F-INFENG/TR 328
    • De Freitas, J.F.G.1    Niranjan, M.2    Gee, A.H.3    Doucet, A.4
  • 5
    • 0003838908 scopus 로고    scopus 로고
    • On sequential simulation-based methods for Bayesian filtering
    • Cambridge University
    • Doucet, A. (1998). On sequential simulation-based methods for Bayesian filtering, Technical Report CUED/F-INFENG/TR 310, Cambridge University. Available at http://www.stats.bris.ac.uk:81/MCMC/pages/list.html.
    • (1998) Technical Report CUED/F-INFENG/TR 310
    • Doucet, A.1
  • 6
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon, N. J., Salmond, D. J. and Smith, A. F. M. (1993). Novel approach to nonlinear/non-Gaussian Bayesian state estimation, IEE Proceedings-F 140(2): 107-113.
    • (1993) IEE Proceedings-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 8
    • 0000221272 scopus 로고
    • Training multilayer perceptrons with the extended Kalman algorithm
    • D. S. Touretzky (ed.) San Mateo, CA
    • Singhal, S. and Wu, L. (1988). Training multilayer perceptrons with the extended Kalman algorithm, in D. S. Touretzky (ed.), Advances in Neural Information Processing Systems, Vol. 1, San Mateo, CA, pp. 133-140.
    • (1988) Advances in Neural Information Processing Systems , vol.1 , pp. 133-140
    • Singhal, S.1    Wu, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.