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Volumn , Issue , 2009, Pages 1073-1080

Gates

Author keywords

[No Author keywords available]

Indexed keywords

MIXTURES;

EID: 77955514861     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (14)
  • 5
    • 51849154901 scopus 로고    scopus 로고
    • Labeled graph notations for graphical models: Extended report
    • March
    • E. Mjolsness. Labeled graph notations for graphical models: Extended report. Technical Report TR# 04-03, UCI ICS, March 2004.
    • (2004) Technical Report TR#04-03, UCI ICS
    • Mjolsness, E.1
  • 6
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    • Operations for learning with graphical models
    • W. L. Buntine. Operations for learning with graphical models. JAIR, 2:159-225, 1994.
    • (1994) JAIR , vol.2 , pp. 159-225
    • Buntine, W.L.1
  • 7
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images
    • S. Geman and D. Geman. Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images. IEEE Trans. on Pattern Anal. Machine Intell., 6:721-741, 1984. (Pubitemid 15453722)
    • (1984) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.PAMI-6 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 8
    • 0024508964 scopus 로고
    • Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps
    • E. S. Lander and D. Botstein. Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics, 121(1):185-199, 1989.
    • (1989) Genetics , vol.121 , Issue.1 , pp. 185-199
    • Lander, E.S.1    Botstein, D.2
  • 9
    • 0012131861 scopus 로고    scopus 로고
    • Variational approximations between mean field theory and the junction tree algorithm
    • W.A.J.J. Wiegerinck. Variational approximations between mean field theory and the junction tree algorithm. In UAI, pages 626-633, 2000.
    • (2000) UAI , pp. 626-633
    • Wiegerinck, W.A.J.J.1
  • 10
    • 21844450606 scopus 로고    scopus 로고
    • Variational message passing
    • J. Winn and C. M. Bishop. Variational Message Passing. JMLR, 6:661-694, 2005.
    • (2005) JMLR , vol.6 , pp. 661-694
    • Winn, J.1    Bishop, C.M.2
  • 11
    • 0345978970 scopus 로고    scopus 로고
    • Expectation propagation for approximate Bayesian inference
    • T. P. Minka. Expectation propagation for approximate Bayesian inference. In UAI, pages 362-369, 2001.
    • (2001) UAI , pp. 362-369
    • Minka, T.P.1
  • 13
    • 15844362098 scopus 로고    scopus 로고
    • Robust Bayesian mixture modelling
    • DOI 10.1016/j.neucom.2004.11.018, PII S0925231204005181
    • M. Svensén and C.M. Bishop. Robust Bayesian mixture modelling. Neurocomputing, 64:235-252, 2005. (Pubitemid 40425321)
    • (2005) Neurocomputing , vol.64 , Issue.1-4 SPEC. ISSUE , pp. 235-252
    • Svensen, M.1    Bishop, C.M.2
  • 14
    • 33845659662 scopus 로고    scopus 로고
    • Robust Bayesian clustering
    • DOI 10.1016/j.neunet.2006.06.009, PII S0893608006001791
    • C. Archambeau and M. Verleysen. Robust Bayesian clustering. Neural Networks, 20:129-138, 2007. (Pubitemid 44960625)
    • (2007) Neural Networks , vol.20 , Issue.1 , pp. 129-138
    • Archambeau, C.1    Verleysen, M.2


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