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Volumn 2671, Issue , 2003, Pages 297-312

Cycle-cutset sampling for bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BENCHMARKING; COMPUTER SCIENCE; DISTRIBUTED PARAMETER CONTROL SYSTEMS; GRAPH THEORY; SET THEORY;

EID: 7044270666     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44886-1_23     Document Type: Conference Paper
Times cited : (5)

References (19)
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    • (1996) Biometrika , vol.83 , Issue.1 , pp. 81-94
    • Casella, G.1    Robert, C.P.2
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    • Bucket elimination: A unifying framework for reasoning
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    • Dechter, R.1
  • 4
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    • Rao-blackwellised particle filtering for dynamic bayesian networks
    • A. Doucet, N. de Freitas, K. Murphy, and S. Russell. Rao-blackwellised particle filtering for dynamic bayesian networks. In Uncertainty in AI, pages 176–183, 2000.
    • (2000) Uncertainty in AI , pp. 176-183
    • Doucet, A.1    de Freitas, N.2    Murphy, K.3    Russell, S.4
  • 9
    • 0004856623 scopus 로고    scopus 로고
    • Empirical evaluation of approximation algorithms for probabilistic decoding
    • K. Kask I. Rish and R. Dechter. Empirical evaluation of approximation algorithms for probabilistic decoding. In Uncertainty in AI (UAI’98), 1998.
    • (1998) Uncertainty in AI (UAI’98)
    • Kask, K.1    Rish, I.2    Dechter, R.3
  • 13
    • 5844407787 scopus 로고
    • Hugs: Combining exact inference and gibbs sampling in junction trees
    • Morgan Kaufmann
    • Uffe Kjærulff. Hugs: Combining exact inference and gibbs sampling in junction trees. In Uncertainty in AI, pages 368–375. Morgan Kaufmann, 1995.
    • (1995) Uncertainty in AI , pp. 368-375
    • Kjærulff, U.1
  • 14
    • 0041918994 scopus 로고    scopus 로고
    • A general algorithm for approximate inference and its application to hybrid bayes nets
    • D. Koller, U. Lerner, and D. Angelov. A general algorithm for approximate inference and its application to hybrid bayes nets. In Uncertainty in AI, pages 324–333, 1998.
    • (1998) Uncertainty in AI , pp. 324-333
    • Koller, D.1    Lerner, U.2    Angelov, D.3
  • 15
    • 0001006209 scopus 로고
    • Local computation with probabilities on graphical structures and their application to expert systems
    • S. L. Lauritzen and D. J. Spiegelhalter. Local computation with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society, Series B, 50(2):157–224, 1988.
    • (1988) Journal of the Royal Statistical Society, Series B , vol.50 , Issue.2 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 16
    • 0001789822 scopus 로고
    • Covariance structure of the gibbs sampler with applications to the comparison of estimators and augmentation schemes
    • W.H. Wong Liu, J. and A. Kong. Covariance structure of the gibbs sampler with applications to the comparison of estimators and augmentation schemes. Biometrika, pages 27–40, 1994.
    • (1994) Biometrika , pp. 27-40
    • Wong, W.H.1    Liu, J.2    Kong, A.3
  • 19
    • 0026140542 scopus 로고
    • Fusion and proagation with multiple observations in belief networks
    • M.A. Peot and R.D. Shachter. Fusion and proagation with multiple observations in belief networks. Artificial Intelligence, pages 299–318, 1992.
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    • Peot, M.A.1    Shachter, R.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.