메뉴 건너뛰기




Volumn 12, Issue 6, 1999, Pages 877-892

Bayesian neural networks for classification: How useful is the evidence framework?

Author keywords

Bayesian; Classification; Committees; Evidence; Feature selection; Model selection; Multi layer perceptron; Regularization

Indexed keywords

FEATURE EXTRACTION;

EID: 0032803502     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(99)00040-4     Document Type: Article
Times cited : (91)

References (24)
  • 2
    • 0003619255 scopus 로고    scopus 로고
    • Bias, Variance and Arcing classifiers
    • Statistics Department, University of California
    • Breiman, L. (1996). Bias, Variance and Arcing classifiers, Technical Report 460, Statistics Department, University of California.
    • (1996) Technical Report , vol.460
    • Breiman, L.1
  • 5
    • 0000234257 scopus 로고
    • The evidence framework applied to classification problems
    • MacKay D.J.C. The evidence framework applied to classification problems. Neural Computation. 4:(5):1992;720-736.
    • (1992) Neural Computation , vol.4 , Issue.5 , pp. 720-736
    • MacKay, D.J.C.1
  • 6
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • MacKay D.J.C. Bayesian interpolation. Neural Computation. 4:(3):1992;415-447.
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 415-447
    • MacKay, D.J.C.1
  • 8
    • 0007826152 scopus 로고
    • Bayesian non-linear modelling for the 1993 energy prediction competition
    • G. Heidbreder. Dordrecht: Kluwer
    • MacKay D.J.C. Bayesian non-linear modelling for the 1993 energy prediction competition. Heidbreder G. Maximum entropy and Bayesian methods, Santa Barbara 1993. 1995;Kluwer, Dordrecht.
    • (1995) Maximum Entropy and Bayesian Methods, Santa Barbara 1993
    • MacKay, D.J.C.1
  • 9
    • 0029840811 scopus 로고    scopus 로고
    • Neural networks in clinical medicine
    • Penny W.D., Frost D. Neural networks in clinical medicine. Medical Decision Making. 16:(4):1996;386-398.
    • (1996) Medical Decision Making , vol.16 , Issue.4 , pp. 386-398
    • Penny, W.D.1    Frost, D.2
  • 12
    • 0004220749 scopus 로고    scopus 로고
    • Monte Carlo implementation of Gaussian process models for Bayesian regression and classification
    • Department of Statistics, University of Toronto
    • Neal, R. (1997). Monte Carlo implementation of Gaussian process models for Bayesian regression and classification, Technical Report 9702, Department of Statistics, University of Toronto.
    • (1997) Technical Report , vol.9702
    • Neal, R.1
  • 15
    • 0000696616 scopus 로고
    • Neural networks and related methods for classification
    • Ripley B.D. Neural networks and related methods for classification. Journal of the Royal Statistical Society B. 56:(3):1994;409-456.
    • (1994) Journal of the Royal Statistical Society B , vol.56 , Issue.3 , pp. 409-456
    • Ripley, B.D.1
  • 17
    • 0003862260 scopus 로고    scopus 로고
    • Novelty, confidence and errors in connectionist systems
    • Department of Electrical Engineering, Imperial College. Available from
    • Roberts, S.J., Penny, W. (1997). Novelty, confidence and errors in connectionist systems, Technical Report, Department of Electrical Engineering, Imperial College. Available from http://www.ee.ic.ac.uk/research/neural/wpenny.html.
    • (1997) Technical Report
    • Roberts, S.J.1    Penny, W.2
  • 18
  • 20
    • 0032585001 scopus 로고    scopus 로고
    • A comparison of fast Fourier transform (FFT) and autoregressive (AR) spectral estimation techniques for the analysis of tremor data
    • Special issue on Waveform and Systems Analysis, M. Gresty (Ed.)
    • Spyers-Ashby J.M., Bain P., Roberts S.J. A comparison of fast Fourier transform (FFT) and autoregressive (AR) spectral estimation techniques for the analysis of tremor data. Journal of Neuroscience Methods. 83:1998;35-43. Special issue on Waveform and Systems Analysis, M. Gresty (Ed.).
    • (1998) Journal of Neuroscience Methods , vol.83 , pp. 35-43
    • Spyers-Ashby, J.M.1    Bain, P.2    Roberts, S.J.3
  • 22
    • 0029754435 scopus 로고
    • A review of Bayesian neural networks with an application to near infrared spectroscopy
    • Thodberg H.H. A review of Bayesian neural networks with an application to near infrared spectroscopy. IEEE Transactions on Neural Networks. 7:1995;56-72.
    • (1995) IEEE Transactions on Neural Networks , vol.7 , pp. 56-72
    • Thodberg, H.H.1
  • 23
    • 0001905135 scopus 로고
    • On the asymptotic behaviour of posterior distributions
    • Walker A.M. On the asymptotic behaviour of posterior distributions. Journal of the Royal Statistical Society B. 31:(1):1969;80-88.
    • (1969) Journal of the Royal Statistical Society B , vol.31 , Issue.1 , pp. 80-88
    • Walker, A.M.1
  • 24
    • 0000673452 scopus 로고
    • Bayesian regularization and pruning using a Laplace prior
    • Williams P.M. Bayesian regularization and pruning using a Laplace prior. Neural Computation. 7:(1):1995;117-143.
    • (1995) Neural Computation , vol.7 , Issue.1 , pp. 117-143
    • Williams, P.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.