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Volumn , Issue , 2000, Pages 209-215

A variational Bayesian framework for graphical models

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; SPEECH RECOGNITION;

EID: 84898964031     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (677)

References (9)
  • 1
    • 0033561886 scopus 로고    scopus 로고
    • Independent factor analysis
    • Attias, H. (1999). Independent Factor Analysis. Neural Computation 11, 803-851.
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    • Attias, H.1
  • 2
    • 0001865864 scopus 로고    scopus 로고
    • Variational principal component analysis
    • Bishop, CM. (1999). Variational Principal Component Analysis. Proc. 9th ICANN.
    • (1999) Proc. 9th ICANN
    • Bishop, C.M.1
  • 3
    • 0031272327 scopus 로고    scopus 로고
    • Efficient approximations for the marginal likelihood of bayesian networks with hidden variables
    • Chickering, D.M. & Heckerman, D. (1997). Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables. Machine Learning 29, 181-212.
    • (1997) Machine Learning , vol.29 , pp. 181-212
    • Chickering, D.M.1    Heckerman, D.2
  • 4
    • 0027803368 scopus 로고
    • Keeping neural networks simple by minimizing the description length of the weights
    • Hinton, G.E. & Van Camp, D. (1993). Keeping neural networks simple by minimizing the description length of the weights. Proc. 6th COLT, 5-13.
    • (1993) Proc. 6th COLT , pp. 5-13
    • Hinton, G.E.1    Van Camp, D.2
  • 5
    • 84898987586 scopus 로고    scopus 로고
    • Bayesian logistic regression: A variational approach
    • Smyth, P. & Madigan, D., Eds
    • Jaakkola, T. & Jordan, M.I. (1997). Bayesian logistic regression: A variational approach. Statistics and Artificial Intelligence 6 (Smyth, P. & Madigan, D., Eds).
    • (1997) Statistics and Artificial Intelligence , vol.6
    • Jaakkola, T.1    Jordan, M.I.2
  • 6
    • 0002788893 scopus 로고    scopus 로고
    • A view of the em algorithm that justifies incremental, sparse, and other variants
    • (Jordan, M.I., Ed). Kluwer Academic Press, Norwell, MA
    • Neal, R.M. & Hinton, G.E. (1998). A view of the EM algorithm that justifies incremental, sparse, and other variants. Learning in Graphical Models, 355-368 (Jordan, M.I., Ed). Kluwer Academic Press, Norwell, MA.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.M.1    Hinton, G.E.2
  • 7
    • 18244378520 scopus 로고    scopus 로고
    • On Bayesian analysis of mixtures with an unknown number of components
    • Richardson, S. & Green, P.J. (1997). On Bayesian analysis of mixtures with an unknown number of components. Journal of the Royal Statistical Society B, 59, 731-792.
    • (1997) Journal of the Royal Statistical Society B , vol.59 , pp. 731-792
    • Richardson, S.1    Green, P.J.2
  • 9
    • 0001878447 scopus 로고    scopus 로고
    • Bayesian methods for mixture of experts
    • (Touretzky, D.S. et al, Eds). MIT Press
    • Waterhouse, S., Mackay, D., & Robinson, T. (1996). Bayesian methods for mixture of experts. NIPS-8 (Touretzky, D.S. et al, Eds). MIT Press.
    • (1996) NIPS-8
    • Waterhouse, S.1    Mackay, D.2    Robinson, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.