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Volumn 15, Issue 3, 1996, Pages 225-263

Inference in belief networks: A procedural guide

Author keywords

Artificial intelligence; Bayesian network; Belief network; Causal network; Evidence; Expert systems; Join tree; Probabilistic inference; Probability propagation; Reasoning under uncertainty

Indexed keywords


EID: 30244555119     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0888-613x(96)00069-2     Document Type: Article
Times cited : (311)

References (30)
  • 1
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • Lauritzen, S. L., and Spiegelhalter, D. J., Local computations with probabilities on graphical structures and their application to expert systems, J. Roy. Statist. Soc. Ser B, 50, 157-224, 1988.
    • (1988) J. Roy. Statist. Soc. Ser B , vol.50 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 2
    • 0001698979 scopus 로고
    • Bayesian updating in causal probabilistic networks by local computations
    • Jensen, F. V., Lauritzen, S. L., and Olesen, K. G., Bayesian updating in causal probabilistic networks by local computations, Comput. Statist. Quart., 4, 269-292, 1990.
    • (1990) Comput. Statist. Quart. , vol.4 , pp. 269-292
    • Jensen, F.V.1    Lauritzen, S.L.2    Olesen, K.G.3
  • 3
    • 85012737234 scopus 로고
    • Axioms for probability and belief-function propagation
    • R. D. Shachter, T. Levitt, J, F. Lemmer, and L. N. Kanal, Eds., Elsevier, North-Holland, Amsterdam
    • Shenoy, P., and Shafer, G., Axioms for probability and belief-function propagation, in Uncertainty and Artificial Intelligence, Vol. 4 (R. D. Shachter, T. Levitt, J, F. Lemmer, and L. N. Kanal, Eds.), Elsevier, North-Holland, Amsterdam, 169-198, 1990.
    • (1990) Uncertainty and Artificial Intelligence , vol.4 , pp. 169-198
    • Shenoy, P.1    Shafer, G.2
  • 6
    • 0022823859 scopus 로고
    • A constraint-propagation approach to probabilistic reasoning
    • L. N. Kanal and J. F. Lemmer, Eds., Elsevier, New York
    • Pearl, J., A constraint-propagation approach to probabilistic reasoning, in Uncertainty and Artificial Intelligence (L. N. Kanal and J. F. Lemmer, Eds.), Elsevier, New York, 357-369, 1986.
    • (1986) Uncertainty and Artificial Intelligence , pp. 357-369
    • Pearl, J.1
  • 7
    • 0026140542 scopus 로고
    • Fusion and propagation with multiple observations in belief networks
    • Peot, M. A., and Shachter, R. D., Fusion and propagation with multiple observations in belief networks, Artif. Intell., 48(3), 299-318, 1991.
    • (1991) Artif. Intell. , vol.48 , Issue.3 , pp. 299-318
    • Peot, M.A.1    Shachter, R.D.2
  • 10
    • 0028466297 scopus 로고
    • Efficient inference in Bayes nets as a combinatorial optimization problem
    • Li, Z., and D'Ambrosio, B., Efficient inference in Bayes nets as a combinatorial optimization problem, Internat. J. Approx. Reason. 11(1), 55-81, 1994.
    • (1994) Internat. J. Approx. Reason. , vol.11 , Issue.1 , pp. 55-81
    • Li, Z.1    D'Ambrosio, B.2
  • 11
    • 85019472124 scopus 로고
    • A Bayesian analysis of simulation algorithms for inference in belief networks
    • Dagum, P., and Horvitz, E., A Bayesian analysis of simulation algorithms for inference in belief networks. Networks, 23, 499-516, 1993.
    • (1993) Networks , vol.23 , pp. 499-516
    • Dagum, P.1    Horvitz, E.2
  • 12
    • 0002384709 scopus 로고
    • Conditional independence in statistical theory
    • Dawid, A. P., Conditional independence in statistical theory, J. Roy. Statist. Soc. Ser. B, 41(1), 1-33, 1979.
    • (1979) J. Roy. Statist. Soc. Ser. B , vol.41 , Issue.1 , pp. 1-33
    • Dawid, A.P.1
  • 13
    • 84986959240 scopus 로고
    • Identifying independence in Bayesian networks
    • Geiger, D., Verma, T., and Pearl, J., Identifying independence in Bayesian networks, Networks, 20, 507-534, 1990.
    • (1990) Networks , vol.20 , pp. 507-534
    • Geiger, D.1    Verma, T.2    Pearl, J.3
  • 14
    • 0026374073 scopus 로고
    • Bayesian networks without tears
    • Charniak, E., Bayesian networks without tears, AI Mag., 12(4), 50-63, 1991.
    • (1991) AI Mag. , vol.12 , Issue.4 , pp. 50-63
    • Charniak, E.1
  • 16
    • 84987049628 scopus 로고
    • Independence properties of directed Markov fields
    • Lauritzen, S. L., Dawid, A. P., Larsen, B. N., and Leimer, H.-G., Independence properties of directed Markov fields, Networks, 20, 491-505, 1990.
    • (1990) Networks , vol.20 , pp. 491-505
    • Lauritzen, S.L.1    Dawid, A.P.2    Larsen, B.N.3    Leimer, H.-G.4
  • 21
    • 0021473698 scopus 로고
    • Simple linear-time algorithms to test chordality of graphs, test acyclicity of hypergraphs and selectively reduce hypergraphs
    • Tarjan, R. E., and Yannakakis, M., Simple linear-time algorithms to test chordality of graphs, test acyclicity of hypergraphs and selectively reduce hypergraphs, SIAM J. Comput. 13(3), 566-579, 1984.
    • (1984) SIAM J. Comput. , vol.13 , Issue.3 , pp. 566-579
    • Tarjan, R.E.1    Yannakakis, M.2
  • 24
    • 0001957787 scopus 로고
    • Fast retraction of evidence in a probabilistic expert system
    • Cowell, R. G., and Dawid, A. P., Fast retraction of evidence in a probabilistic expert system, Statist. Comput. 2, 37-40, 1992.
    • (1992) Statist. Comput. , vol.2 , pp. 37-40
    • Cowell, R.G.1    Dawid, A.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.