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Volumn , Issue , 2005, Pages 128-135

Learning causally linked Markov Random Fields

Author keywords

[No Author keywords available]

Indexed keywords

CHAIN GRAPH; CONTRASTIVE DIVERGENCE; GENERATIVE MODEL; HIDDEN MARKOV RANDOM FIELDS; HIDDEN VARIABLE; HYBRID MODEL; INTENSITY IMAGES; INTER-RELATIONSHIPS; LEARNING PROCEDURES; LOWER BOUNDS; MARKOV RANDOM FIELDS; MEAN-FIELD VERSIONS; OBSERVABLE VARIABLES; OBSERVED DATA; PARTITION FUNCTIONS; POSTERIOR DISTRIBUTIONS; VARIATIONAL APPROXIMATION;

EID: 84862625369     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (13)
  • 2
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • M. I. Jordan, editor Kluwer Academic Publishers
    • R. M. Neal and G. Hinton. A view of the EM algorithm that justifies incremental, sparse, and other variants. In M. I. Jordan, editor, Learning in Graphical Models, pages 355-368. Kluwer Academic Publishers, 1998.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.M.1    Hinton, G.2
  • 3
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • G. E. Hinton. Training products of experts by minimizing contrastive divergence. Neural Computation, 14:1771-1800, 2002.
    • (2002) Neural Computation , vol.14 , pp. 1771-1800
    • Hinton, G.E.1
  • 4
    • 0002480085 scopus 로고
    • Graphical models for associations between variables, some of which are qualitative and some quantitative
    • S. Lauritzen and N Wermuth. Graphical models for associations between variables, some of which are qualitative and some quantitative. Annals of Statistics, 17:31-57, 1989.
    • (1989) Annals of Statistics , vol.17 , pp. 31-57
    • Lauritzen, S.1    Wermuth, N.2
  • 6
    • 0036420729 scopus 로고    scopus 로고
    • Chain graphs and their causal interpretations
    • Series B. Statistical Methodology
    • S. L. Lauritzen and T. S. Richardson. Chain graphs and their causal interpretations. Journal of the Royal Statistical Society. Series B. Statistical Methodology, 64(3):321-361, 2002.
    • (2002) Journal of the Royal Statistical Society , vol.64 , Issue.3 , pp. 321-361
    • Lauritzen, S.L.1    Richardson, T.S.2
  • 11
    • 0029411030 scopus 로고
    • An information maximisation approach to blind separation and blind devonvolution
    • A. J. Bell and T. J. Sejnowski. An information maximisation approach to blind separation and blind devonvolution. Neural Cmputation, 7:1129-1159, 1995.
    • (1995) Neural Cmputation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 12
    • 0031122399 scopus 로고    scopus 로고
    • Infomax and maximum likelihood for blind source separation
    • J.F. Cardoso. Infomax and maximum likelihood for blind source separation. IEEE Signal Processing Letters, 4:112-114, 1997.
    • (1997) IEEE Signal Processing Letters , vol.4 , pp. 112-114
    • Cardoso, J.F.1
  • 13
    • 0029652445 scopus 로고
    • The "wake-sleep" algorithm for unsupervised neural networks
    • G.E. Hinton, P. Dayan, B.J. Frey, and R.M. Neal. The "wake- sleep" algorithm for unsupervised neural networks. Science, 268:1158-1160, 1995.
    • (1995) Science , vol.268 , pp. 1158-1160
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.