메뉴 건너뛰기




Volumn 8, Issue 4, 1998, Pages 231-243

Inference algorithms in bayesian networks and the probanet system

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CONDITIONAL PROBABILITY NETWORKS (CPN); PROBABILISTIC INFERENCE;

EID: 0032178303     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1006/dspr.1998.0324     Document Type: Article
Times cited : (8)

References (62)
  • 7
    • 0000008564 scopus 로고
    • Recursive derivation of likelihoods on pedigrees of arbitrary complexity
    • Cannings, C., Thompson, E. A., and Skolnick, M. H. Recursive derivation of likelihoods on pedigrees of arbitrary complexity. Adv. Appl. Probab. 8 (1976), 622-625.
    • (1976) Adv. Appl. Probab. , vol.8 , pp. 622-625
    • Cannings, C.1    Thompson, E.A.2    Skolnick, M.H.3
  • 10
    • 0003927182 scopus 로고
    • Probabilistic inference using belief networks is NP-hard
    • Medical Computer Science Group, Stanford University
    • Cooper, G. F. Probabilistic Inference Using Belief Networks Is NP-Hard. Technical Report KSL-87-27, Medical Computer Science Group, Stanford University, 1987.
    • (1987) Technical Report , vol.KSL-87-27
    • Cooper, G.F.1
  • 11
    • 23644461426 scopus 로고
    • Symbolic probabilistic inference
    • Oregon State University
    • D'Ambrosio, B. Symbolic Probabilistic Inference. Technical report, Oregon State University, 1989.
    • (1989) Technical Report
    • D'Ambrosio, B.1
  • 12
    • 0344819761 scopus 로고
    • Local expression languages for probabilistic dependence
    • Morgan Kaufmann, San Francisco, CA
    • D'Ambrosio, B. Local expression languages for probabilistic dependence. In Proceedings, Conf. on Uncertainty in Artif. Intell. Morgan Kaufmann, San Francisco, CA, 1991.
    • (1991) Proceedings, Conf. on Uncertainty in Artif. Intell.
    • D'Ambrosio, B.1
  • 13
    • 0027560587 scopus 로고
    • Approximate probabilistic inference in Bayesian belief networks is NP-hard
    • Dagum, P., and Luby, M. Approximate probabilistic inference in Bayesian belief networks is NP-hard. Arlif. Intell. 60, No. 1 (1993), 141-153.
    • (1993) Arlif. Intell. , vol.60 , Issue.1 , pp. 141-153
    • Dagum, P.1    Luby, M.2
  • 14
    • 0003064380 scopus 로고
    • Applications of a general propagation algorithm for probabilistic expert system
    • Dawid, A. Applications of a general propagation algorithm for probabilistic expert system. Statist. & Comput. 2 (1992), 25-36.
    • (1992) Statist. & Comput. , vol.2 , pp. 25-36
    • Dawid, A.1
  • 15
    • 0002251094 scopus 로고    scopus 로고
    • Bucket elimination: A unifying framework for probabilistic inference
    • Morgan Kaufmann, San Francisco
    • Dechter, R. Bucket elimination: A unifying framework for probabilistic inference. In Proceedings, Conf. on Uncertainty in Artif. Intell. pp. Morgan Kaufmann, San Francisco, 1996, pp. 211-219.
    • (1996) Proceedings, Conf. on Uncertainty in Artif. Intell. , pp. 211-219
    • Dechter, R.1
  • 17
    • 85041862265 scopus 로고
    • Subjective Bayesian methods for rule-based inference systems
    • Duda, R. O., Hart, P. E., and Nilsson, N. J. Subjective Bayesian methods for rule-based inference systems, Proc. Natl. Comput. Conf. (AFIPS), 1976, Vol. 45, pp. 1075-1082.
    • (1976) Proc. Natl. Comput. Conf. (AFIPS) , vol.45 , pp. 1075-1082
    • Duda, R.O.1    Hart, P.E.2    Nilsson, N.J.3
  • 19
    • 0007319555 scopus 로고
    • Weighting and integrating evidence for stochastic simulation in Bayesian networks
    • Morgan Kaufmann, San Francisco, CA
    • Fung, R. M., and Chang, K. C. Weighting and integrating evidence for stochastic simulation in Bayesian networks. In Proceedings, Conf. on Uncertainty in Artif. Intell. Morgan Kaufmann, San Francisco, CA, 1989.
    • (1989) Proceedings, Conf. on Uncertainty in Artif. Intell.
    • Fung, R.M.1    Chang, K.C.2
  • 21
    • 0000071761 scopus 로고
    • Co-relations and their measurement, chiefly from anthropological data
    • Galton, F. Co-relations and their measurement, chiefly from anthropological data. Proc. R. Soc. London 45 (1888), 135-145.
    • (1888) Proc. R. Soc. London , vol.45 , pp. 135-145
    • Galton, F.1
  • 22
    • 0001178202 scopus 로고
    • A language and a program for complex Bayesian modeling
    • Gilks, W., Thomas, A., and Spiegelhalter, D. A language and a program for complex Bayesian modeling. Statistician 43 (1994), 169-178.
    • (1994) Statistician , vol.43 , pp. 169-178
    • Gilks, W.1    Thomas, A.2    Spiegelhalter, D.3
  • 24
    • 0001247275 scopus 로고
    • Propagating uncertainty in Bayesian networks by probabilistic logic sampling
    • Lemmer and Kanal, Eds.. Elsevier Science, Amsterdam
    • Henrion, M. Propagating uncertainty in Bayesian networks by probabilistic logic sampling. In Uncertainty in Artificial Intelligence 2 (Lemmer and Kanal, Eds.). Elsevier Science, Amsterdam, 1988.
    • (1988) Uncertainty in Artificial Intelligence , vol.2
    • Henrion, M.1
  • 26
    • 0001022491 scopus 로고
    • Blocking Gibbs sampling in very large probabilistic expert systems
    • Jensen, C. S., Kong, A., and Kjaerulff, U. Blocking Gibbs sampling in very large probabilistic expert systems. J. Human-Comput. Stud. 42 (1995), 647-666.
    • (1995) J. Human-Comput. Stud. , vol.42 , pp. 647-666
    • Jensen, C.S.1    Kong, A.2    Kjaerulff, U.3
  • 27
    • 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 (1990), 269-292.
    • (1990) Comput. Statist. Quart. , vol.4 , pp. 269-292
    • Jensen, F.V.1    Lauritzen, S.L.2    Olesen, K.G.3
  • 28
    • 0003039406 scopus 로고
    • Analysis of covariance structures
    • Krshnaiah, Ed., Academic Press, New York
    • Jöreskog, K. G. Analysis of covariance structures. In Proc. 3rd Symposium on Multivariate Analysis (Krshnaiah, Ed.), pp. 263-283. Academic Press, New York, 1973.
    • (1973) Proc. 3rd Symposium on Multivariate Analysis , pp. 263-283
    • Jöreskog, K.G.1
  • 29
    • 0039553598 scopus 로고
    • Masstheoretische marginalprobleme
    • Kellerer, H. G. Masstheoretische Marginalprobleme. Math. Ann. 153 (1964), 168-198.
    • (1964) Math. Ann. , vol.153 , pp. 168-198
    • Kellerer, H.G.1
  • 30
    • 23644455357 scopus 로고
    • A general Bayesian model for hierarchical inference
    • Kelly, C. W., and Barclay, S. A general Bayesian model for hierarchical inference. Organiz. Behav. Human Perform. 10 (1973), 388-403.
    • (1973) Organiz. Behav. Human Perform. , vol.10 , pp. 388-403
    • Kelly, C.W.1    Barclay, S.2
  • 31
    • 23644459130 scopus 로고
    • Ph.D. dissertation, Department of Computer Science, University of California, Los Angeles
    • Kim, J. H. CONVINCE: A conversation inference consolidation engine. Ph.D. dissertation, Department of Computer Science, University of California, Los Angeles, 1983.
    • (1983) CONVINCE: A Conversation Inference Consolidation Engine
    • Kim, J.H.1
  • 32
    • 0020918216 scopus 로고
    • A computational model for combined causal and diagnostic reasoning in inference systems
    • Karlsruhe
    • Kim, J. H., and Pearl, J. A computational model for combined causal and diagnostic reasoning in inference systems. In Proc. 8th Intl. Joint Conf. on AI (IJCAI-83), Karlsruhe, 1983.
    • (1983) Proc. 8th Intl. Joint Conf. on AI (IJCAI-83)
    • Kim, J.H.1    Pearl, J.2
  • 34
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their applications to expert systems
    • Lauritzen, S. L., and Spiegelhalter, D. J. Local computations with probabilities on graphical structures and their applications to expert systems. J. R. Statist. Soc. 50 No. 2 (1988), 157-224.
    • (1988) J. R. Statist. Soc. , vol.50 , Issue.2 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 35
    • 84919294407 scopus 로고
    • Strongly decomposable graphs and hypergraphs
    • Thesis, University of Mainz
    • Leimer, H.-G. Strongly Decomposable Graphs and Hypergraphs, Thesis, Ber. Stochast. Verw. Geb. 85-1, University of Mainz, 1985.
    • (1985) Ber. Stochast. Verw. Geb. , vol.85 , Issue.1
    • Leimer, H.-G.1
  • 36
    • 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. Int. J. Approx. Reasoning 11 No. 1 (1994), 55-81.
    • (1994) Int. J. Approx. Reasoning , vol.11 , Issue.1 , pp. 55-81
    • Li, Z.1    D'Ambrosio, B.2
  • 37
    • 0002066122 scopus 로고
    • Scoring rules and the inevitability of probability
    • Lindley, D. V. Scoring rules and the inevitability of probability. Int. Statist. Rev. 50 (1982), 1-26.
    • (1982) Int. Statist. Rev. , vol.50 , pp. 1-26
    • Lindley, D.V.1
  • 38
    • 0020001973 scopus 로고
    • INTERNIST-1: An experimental computer-based diagnostic consultant for general internal medicine
    • Miller, R. A., Poole, H. E., and Myers, J. P. INTERNIST-1: An experimental computer-based diagnostic consultant for general internal medicine. New England J. Med. 307, No. 8 (1982), 468-470.
    • (1982) New England J. Med. , vol.307 , Issue.8 , pp. 468-470
    • Miller, R.A.1    Poole, H.E.2    Myers, J.P.3
  • 39
    • 0003473088 scopus 로고
    • Ph.D. thesis, Department of Engineering-Economic Systems, Stanford University
    • Olmsted, S. On Representing and Solving Decision Problems. Ph.D. thesis, Department of Engineering-Economic Systems, Stanford University, 1983.
    • (1983) On Representing and Solving Decision Problems
    • Olmsted, S.1
  • 40
    • 23644432694 scopus 로고    scopus 로고
    • Tree-graph adaptive inference in Bayesian networks
    • CSSIP
    • Pan, H. P. Tree-graph adaptive inference in Bayesian networks. Technical report, CSSIP, 1998.
    • (1998) Technical Report
    • Pan, H.P.1
  • 41
    • 85030058880 scopus 로고    scopus 로고
    • Information fusion, causal probabilistic network and Probanet I: Information fusion infrastructure and probabilistic knowledge representation
    • Adelaide, Australia
    • Pan, H. P., and McMichael, D. W. Information fusion, causal probabilistic network and Probanet I: Information fusion infrastructure and probabilistic knowledge representation. In Proc. 1st Intl. Workshop on Image Analysis and Information Fusion, Adelaide, Australia, 1997.
    • (1997) Proc. 1st Intl. Workshop on Image Analysis and Information Fusion
    • Pan, H.P.1    McMichael, D.W.2
  • 44
    • 0020276268 scopus 로고
    • Reverend Bayes on inference engines: A distributed hierarchical approach
    • Pittsbugh
    • Pearl, J. (1982): Reverend Bayes on inference engines: A distributed hierarchical approach. In Proc. National Conference on AI, Pittsbugh, pp. 133-136.
    • (1982) Proc. National Conference on AI , pp. 133-136
    • Pearl, J.1
  • 46
    • 0001580189 scopus 로고
    • Algorithmic aspects of vertex elimination on graphs
    • Rose, D. J., Tarjan, R. E., and Lueker, G. S. Algorithmic aspects of vertex elimination on graphs. SIAM J. Comput. 5 (1976), 266-283.
    • (1976) SIAM J. Comput. , vol.5 , pp. 266-283
    • Rose, D.J.1    Tarjan, R.E.2    Lueker, G.S.3
  • 49
    • 0022818911 scopus 로고
    • Evaluating influence diagrams
    • Shachter, R. D. Evaluating influence diagrams. Oper. Res. 33, No. 6 (1986), 871-882.
    • (1986) Oper. Res. , vol.33 , Issue.6 , pp. 871-882
    • Shachter, R.D.1
  • 50
    • 85012719923 scopus 로고
    • Evidence absorption and propagation through evidence reversals
    • M. Henrion et al., Eds., Elsevier Science, Amsterdam
    • Shachter, R. D. Evidence absorption and propagation through evidence reversals. In Uncertainty in Artificial Intelligence 5 (M. Henrion et al., Eds.), pp. 173-190. Elsevier Science, Amsterdam, 1990.
    • (1990) Uncertainty in Artificial Intelligence , vol.5 , pp. 173-190
    • Shachter, R.D.1
  • 51
    • 5844250296 scopus 로고
    • The equivalence of exact methods for probabilistic inference on belief networks
    • Department of Engineering-Economic Systems, Stanford University
    • Shachter, R. D., Andersen, S. K., and Szolovits, P. The equivalence of exact methods for probabilistic inference on belief networks. Technical report, Department of Engineering-Economic Systems, Stanford University, 1991.
    • (1991) Technical Report
    • Shachter, R.D.1    Andersen, S.K.2    Szolovits, P.3
  • 52
    • 85111257386 scopus 로고
    • Symbolic probabilistic inference in belief networks
    • MIT Press, Cambridge, MA
    • Shachter, R. D., D'Ambrosio, B., and del Favero, B. A. Symbolic probabilistic inference in belief networks. In Proc. 8th Nat. Conf. on AI, pp. 126-131. MIT Press, Cambridge, MA, 1990.
    • (1990) Proc. 8th Nat. Conf. on AI , pp. 126-131
    • Shachter, R.D.1    D'Ambrosio, B.2    Del Favero, B.A.3
  • 53
    • 0001203638 scopus 로고
    • Simulation approaches to general probabilistic inference on belief networks
    • Morgan Kaufmann, San Francisco, CA
    • Shachter, R. D., and Peot, M. A. Simulation approaches to general probabilistic inference on belief networks. In Proceedings, Conf. on Uncertainty in Artificial Intelligence. Morgan Kaufmann, San Francisco, CA, 1989.
    • (1989) Proceedings, Conf. on Uncertainty in Artificial Intelligence
    • Shachter, R.D.1    Peot, M.A.2
  • 55
    • 0040509866 scopus 로고
    • Influence diagrams for statistical modeling
    • Smith, J. Q. Influence diagrams for statistical modeling. Ann. Statist. 17, No. 2 (1989), 654-672.
    • (1989) Ann. Statist. , vol.17 , Issue.2 , pp. 654-672
    • Smith, J.Q.1
  • 56
    • 0021473698 scopus 로고
    • Simple linear-time algorithms to test chordality of graphs, test acyclicity of hypergraphs, and selectively reduce acyclic hypergraphs
    • Tarjan, R. E., and Yannakakis, M. Simple linear-time algorithms to test chordality of graphs, test acyclicity of hypergraphs, and selectively reduce acyclic hypergraphs. SIAM J. Comput. 13 (1984), 566-579.
    • (1984) SIAM J. Comput. , vol.13 , pp. 566-579
    • Tarjan, R.E.1    Yannakakis, M.2
  • 57
    • 0000243504 scopus 로고
    • Graphical and recursive models for contingency tables
    • Wermuth, N., and Lauritzen, S. L. Graphical and recursive models for contingency tables. Biometrika 70 (1983), 537-552.
    • (1983) Biometrika , vol.70 , pp. 537-552
    • Wermuth, N.1    Lauritzen, S.L.2
  • 58
    • 0011334093 scopus 로고
    • Causality and econometrics
    • Wold, H. D. A. Causality and econometrics. Econometrica 28 (1954), 443-463.
    • (1954) Econometrica , vol.28 , pp. 443-463
    • Wold, H.D.A.1
  • 59
    • 0001589778 scopus 로고
    • Correlation and causation
    • Wright, S. Correlation and causation. J. Agric. Res. 20 (1921), 557-585.
    • (1921) J. Agric. Res. , vol.20 , pp. 557-585
    • Wright, S.1
  • 60
    • 0001445915 scopus 로고
    • The method of path coefficients
    • Wright, S. The method of path coefficients. Ann. Math. Statist. 5 (1934), 161-215.
    • (1934) Ann. Math. Statist. , vol.5 , pp. 161-215
    • Wright, S.1
  • 61
    • 0012253357 scopus 로고
    • A simple approach to Bayesian network computations
    • Zhang, N. L., and Poole, D. A simple approach to Bayesian network computations. In Proc. 10th Canadian Conf. on AI, 1994, pp. 171-178.
    • (1994) Proc. 10th Canadian Conf. on AI , pp. 171-178
    • Zhang, N.L.1    Poole, D.2
  • 62
    • 0000049635 scopus 로고    scopus 로고
    • Exploiting causal independence in Bayesian network inference
    • Zhang, N. L., and Poole, D. Exploiting causal independence in Bayesian network inference. J. Artif. Intell. Res. 5 (1996), 301-328.
    • (1996) J. Artif. Intell. Res. , vol.5 , pp. 301-328
    • Zhang, N.L.1    Poole, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.