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Volumn 87, Issue 1-2, 1996, Pages 1-20

Local conditioning in Bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; GRAPH THEORY; PARALLEL PROCESSING SYSTEMS; PROBABILITY;

EID: 0030286590     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/0004-3702(95)00118-2     Document Type: Article
Times cited : (31)

References (29)
  • 1
    • 0343241048 scopus 로고
    • Pruning Bayesian networks for efficient computation
    • P.P. Bonissone, M. Henrion, L.N. Kanal and J.F. Lemmer, eds., Elsevier Science Publishers, Amsterdam
    • M. Baker and T.E. Boult, Pruning Bayesian networks for efficient computation, in: P.P. Bonissone, M. Henrion, L.N. Kanal and J.F. Lemmer, eds., Uncertainty in Artificial Intelligence 6 (Elsevier Science Publishers, Amsterdam, 1991) 225-232.
    • (1991) Uncertainty in Artificial Intelligence , vol.6 , pp. 225-232
    • Baker, M.1    Boult, T.E.2
  • 2
    • 0028196393 scopus 로고
    • Approximation algorithms for the vertex feedback set problem with applications to constraint satisfaction and Bayesian inference
    • Arlington, VA
    • R. Bar-Yehuda, D. Geiger, J. Naor and R. Roth, Approximation algorithms for the vertex feedback set problem with applications to constraint satisfaction and Bayesian inference, in: Proceedings 5th Annual ACM-SIAM Symposium On Discrete Algorithms, Arlington, VA (1994) 344-354.
    • (1994) Proceedings 5th Annual ACM-SIAM Symposium on Discrete Algorithms , pp. 344-354
    • Bar-Yehuda, R.1    Geiger, D.2    Naor, J.3    Roth, R.4
  • 4
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using Bayesian belief networks
    • G.F. Cooper, The computational complexity of probabilistic inference using Bayesian belief networks, Artif. Intell. 42 (1990) 393-405.
    • (1990) Artif. Intell. , vol.42 , pp. 393-405
    • Cooper, G.F.1
  • 5
    • 0027560587 scopus 로고
    • Approximating probabilistic inference in Bayesian belief networks is NP-hard
    • P. Dagum and M. Luby, Approximating probabilistic inference in Bayesian belief networks is NP-hard, Artif. Intell. 60 (1993) 141-153.
    • (1993) Artif. Intell. , vol.60 , pp. 141-153
    • Dagum, P.1    Luby, M.2
  • 6
    • 0008525876 scopus 로고
    • Conditioning algorithms for exact and approximate inference in causal networks
    • Montreal, Que. Morgan Kaufmann, San Francisco, CA
    • A. Darwiche, Conditioning algorithms for exact and approximate inference in causal networks, in: Proceedings 11th Conference on Uncertainty in Artificial Intelligence, Montreal, Que. (Morgan Kaufmann, San Francisco, CA, 1995) 99-107.
    • (1995) Proceedings 11th Conference on Uncertainty in Artificial Intelligence , pp. 99-107
    • Darwiche, A.1
  • 7
    • 0003054847 scopus 로고
    • Parameter adjustement in bayes networks. The generalized noisy OR-gate
    • Washington, DC Morgan Kaufmann, San Mateo, CA
    • F.J. Díez, Parameter adjustement in Bayes networks. The generalized noisy OR-gate, in: Proceedings 9th Conference on Uncertainty in Artificial Intelligence, Washington, DC (Morgan Kaufmann, San Mateo, CA, 1993) 99-105.
    • (1993) Proceedings 9th Conference on Uncertainty in Artificial Intelligence , pp. 99-105
    • Díez, F.J.1
  • 9
    • 0028320013 scopus 로고
    • Distributed inference in Bayesian networks
    • F.J. Díez and J. Mira, Distributed inference in Bayesian networks, Cybern. Syst. 25 (1994) 39-61.
    • (1994) Cybern. Syst. , vol.25 , pp. 39-61
    • Díez, F.J.1    Mira, J.2
  • 10
    • 0029273441 scopus 로고
    • Applying Bayesian networks to information retrieval
    • R. Fung and B. del Favero, Applying Bayesian networks to information retrieval, Commun. ACM 38 (1995) 42-48, 57.
    • (1995) Commun. ACM , vol.38 , pp. 42-48
    • Fung, R.1    Del Favero, B.2
  • 11
    • 30244557914 scopus 로고
    • Probabilistic text understanding
    • R.P. Goldman and E. Charniak, Probabilistic text understanding, Statist. Comput. 2 (1992) 105-114.
    • (1992) Statist. Comput. , vol.2 , pp. 105-114
    • Goldman, R.P.1    Charniak, E.2
  • 12
    • 0000987227 scopus 로고
    • Causal independence for knowledge acquisition and inference
    • Washington, DC Morgan Kaufmann, San Mateo, CA
    • D. Heckerman, Causal independence for knowledge acquisition and inference, in: Proceedings 9th Conference on Uncertainty in Artificial Intelligence, Washington, DC (Morgan Kaufmann, San Mateo, CA, 1993) 122-127.
    • (1993) Proceedings 9th Conference on Uncertainty in Artificial Intelligence , pp. 122-127
    • Heckerman, D.1
  • 14
    • 84987047423 scopus 로고
    • An algebra of Bayesian belief universes for knowledgebased systems
    • F.V. Jensen, K.G. Olesen and S.K. Andersen, An algebra of Bayesian belief universes for knowledgebased systems, Networks 20 (1990) 637-660.
    • (1990) Networks , vol.20 , pp. 637-660
    • Jensen, F.V.1    Olesen, K.G.2    Andersen, S.K.3
  • 15
    • 0020918216 scopus 로고
    • A computational model for combined causal and diagnostic reasoning in inference systems
    • Karlsruhe
    • J.H. Kim and J. Pearl, A computational model for combined causal and diagnostic reasoning in inference systems, in: Proceedings IJCAI-83, Karlsruhe (1983) 190-193.
    • (1983) Proceedings IJCAI-83 , pp. 190-193
    • Kim, J.H.1    Pearl, J.2
  • 17
    • 0001893320 scopus 로고
    • Optimal decomposition of probabilistic networks by simulated annealing
    • U. Kjærulff, Optimal decomposition of probabilistic networks by simulated annealing, Statist. Comput. 2 (1992) 7-17.
    • (1992) Statist. Comput. , vol.2 , pp. 7-17
    • Kjærulff, U.1
  • 18
    • 0025913455 scopus 로고
    • Efficient methods for computing linkage likelihoods of recessive diseases in inbred pedigrees
    • A. Kong, Efficient methods for computing linkage likelihoods of recessive diseases in inbred pedigrees, Genetic Epidem. 8 (1991) 81-103.
    • (1991) Genetic Epidem. , vol.8 , pp. 81-103
    • Kong, A.1
  • 19
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • S.L. Lauritzen and D.J. Spiegelhalter, Local computations with probabilities on graphical structures and their application to expert systems, J. Roy. Statist. Soc. Ser. B 50 (1988) 157-224.
    • (1988) J. Roy. Statist. Soc. Ser. B , vol.50 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 21
    • 46149134436 scopus 로고
    • Fusion, propagation and structuring in belief networks
    • J. Pearl, Fusion, propagation and structuring in belief networks, Artif. Intell. 29 (1986) 241-288.
    • (1986) Artif. Intell. , vol.29 , pp. 241-288
    • Pearl, J.1
  • 23
    • 0026140542 scopus 로고
    • Fusion and propagation with multiple observations in belief networks
    • M.A. Peot and R.D. Shachter, Fusion and propagation with multiple observations in belief networks, Artif. Intell. 48 (1991) 299-318.
    • (1991) Artif. Intell. , vol.48 , pp. 299-318
    • Peot, M.A.1    Shachter, R.D.2
  • 25
    • 30244471470 scopus 로고
    • On heuristics for finding loop cutsets in multiply connected belief networks
    • P.P. Bonissone, M. Henrion, L.N. Kanal and J.F. Lemmer, eds., Elsevier Science Publishers, Amsterdam
    • J. Stillman, On heuristics for finding loop cutsets in multiply connected belief networks, in: P.P. Bonissone, M. Henrion, L.N. Kanal and J.F. Lemmer, eds., Uncertainty in Artificial Intelligence 6 (Elsevier Science Publishers, Amsterdam, 1991) 233-243.
    • (1991) Uncertainty in Artificial Intelligence , vol.6 , pp. 233-243
    • Stillman, J.1
  • 26
    • 38249019981 scopus 로고
    • Probabilistic inference in multiply connected belief networks using loop cutsets
    • H.J. Suermondt and G.F. Cooper, Probabilistic inference in multiply connected belief networks using loop cutsets, Internat. J. Approx. Reasoning 4 (1990) 283-306.
    • (1990) Internat. J. Approx. Reasoning , vol.4 , pp. 283-306
    • Suermondt, H.J.1    Cooper, G.F.2
  • 27
    • 3743155461 scopus 로고
    • A combination of exact algorithms for inference on Bayesian belief networks
    • H.J. Suermondt and G.F. Cooper, A combination of exact algorithms for inference on Bayesian belief networks, Internat. J. Approx. Reasoning 5 (1991) 521-542.
    • (1991) Internat. J. Approx. Reasoning , vol.5 , pp. 521-542
    • Suermondt, H.J.1    Cooper, G.F.2
  • 28
    • 0026172780 scopus 로고
    • Initialization for the method of conditioning in Bayesian belief networks
    • H.J. Suermondt and G.F. Cooper, Initialization for the method of conditioning in Bayesian belief networks, Artif. Intell. 50 (1991) 83-94.
    • (1991) Artif. Intell. , vol.50 , pp. 83-94
    • Suermondt, H.J.1    Cooper, G.F.2
  • 29
    • 0002244038 scopus 로고
    • Optimal decomposition of belief networks
    • P.P. Bonissone, M. Henrion, L.N. Kanal and J.F. Lemmer, eds., Elsevier Science Publishers, Amsterdam
    • W.X. Wen, Optimal decomposition of belief networks, in: P.P. Bonissone, M. Henrion, L.N. Kanal and J.F. Lemmer, eds., Uncertainty in Artificial Intelligence 6 (Elsevier Science Publishers, Amsterdam, 1991) 209-224.
    • (1991) Uncertainty in Artificial Intelligence , vol.6 , pp. 209-224
    • Wen, W.X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.