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Volumn 14, Issue 7, 2000, Pages 941-962

Fuzzy Bayesian networks - a general formalism for representation, inference and learning with hybrid Bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; LEARNING ALGORITHMS; LEARNING SYSTEMS; REGRESSION ANALYSIS;

EID: 0034314796     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0218-0014(00)00060-X     Document Type: Article
Times cited : (34)

References (25)
  • 1
    • 0005234122 scopus 로고    scopus 로고
    • Inference using message propagation and topology transformation in vector Gaussian continuous networks
    • Morgan Kaufmann
    • S. Alag and Q. M. Agogino, "Inference using message propagation and topology transformation in vector Gaussian continuous networks," Proc. 12th Conf. Uncertainty in Artificial Intelligence, Morgan Kaufmann, 1996.
    • (1996) Proc. 12th Conf. Uncertainty in Artificial Intelligence
    • Alag, S.1    Agogino, Q.M.2
  • 2
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • G. Cooper and E. Herskovits, "A Bayesian method for the induction of probabilistic networks from data," Mach. Learn. 9 (1992) 309-347.
    • (1992) Mach. Learn. , vol.9 , pp. 309-347
    • Cooper, G.1    Herskovits, E.2
  • 3
    • 27144476505 scopus 로고    scopus 로고
    • Implementation of continuous Bayesian networks using sums of weighted Gaussians
    • Morgan Kaufmann
    • E. Driver and D. Morrel, "Implementation of continuous Bayesian networks using sums of weighted Gaussians," Proc. 11th Conf. Uncertainty in Artificial Intelligence, Morgan Kaufmann, 1995, pp. 134-140.
    • Proc. 11th Conf. Uncertainty in Artificial Intelligence , vol.1995 , pp. 134-140
    • Driver, E.1    Morrel, D.2
  • 4
    • 0001964681 scopus 로고
    • Hierarchical interaction models
    • D. E. Edwards, "Hierarchical interaction models," J. R. Stat. Soc. B52, 1 (1990) 3-20.
    • (1990) J. R. Stat. Soc. , vol.B52 , Issue.1 , pp. 3-20
    • Edwards, D.E.1
  • 5
    • 0001156075 scopus 로고    scopus 로고
    • Discretization of continuous attributes while learning Bayesian networks
    • ed. L. Saitta
    • N. Friedman and M. Goldszmidt, "Discretization of continuous attributes while learning Bayesian networks," Proc. 13th Int. Conf. Machine Learning, ed. L. Saitta, 1996.
    • (1996) Proc. 13th Int. Conf. Machine Learning
    • Friedman, N.1    Goldszmidt, M.2
  • 8
    • 0001698979 scopus 로고
    • Bayesian updating in causal probabilistic networks by local computations
    • F. V. Jensen, S. L. Lauritzen and K. G. Olesen, "Bayesian updating in causal probabilistic networks by local computations," Comput. Stat. Quart. 4 (1990) 269-282.
    • (1990) Comput. Stat. Quart. , vol.4 , pp. 269-282
    • Jensen, F.V.1    Lauritzen, S.L.2    Olesen, K.G.3
  • 11
    • 0028482006 scopus 로고
    • Learning Bayesian belief networks: An approach based on the mdl principle
    • W. Lam and F. Bacchus, "Learning Bayesian belief networks: an approach based on the MDL principle," Comput. Intell. 10 (1994) 269-293.
    • (1994) Comput. Intell. , vol.10 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 12
    • 84950442428 scopus 로고
    • Propagation of probabilities, means and variances in mixed graphical association models
    • S. L. Lauritzen, "Propagation of probabilities, means and variances in mixed graphical association models," J. Am. Stat. Assoc. 87, 420 (1992) 1098-1108.
    • (1992) J. Am. Stat. Assoc. , vol.87 , Issue.420 , pp. 1098-1108
    • Lauritzen, S.L.1
  • 13
    • 58149210716 scopus 로고
    • The EM algorithm for graphical association models with missing data
    • S. L. Lauritzen, "The EM algorithm for graphical association models with missing data," Comput. Stat. Data Anal. 19 (1995) 191-201.
    • (1995) Comput. Stat. Data Anal. , vol.19 , pp. 191-201
    • Lauritzen, S.L.1
  • 15
    • 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. R. Stat. Soc. B50, 2 (1988) 157-224.
    • (1988) J. R. Stat. Soc. , vol.B50 , Issue.2 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 16
    • 0002480085 scopus 로고
    • Graphical models for associations between variables, some of which are qualitative and some quantitative
    • S. L. Lauritzen and N. Wermuth, "Graphical models for associations between variables, some of which are qualitative and some quantitative," J. Ann. Statist. 17 (1989) 31-57.
    • (1989) J. Ann. Statist. , vol.17 , pp. 31-57
    • Lauritzen, S.L.1    Wermuth, N.2
  • 19
    • 22144436977 scopus 로고    scopus 로고
    • Estimating the parameters of mixed Bayesian networks from incomplete data
    • February, Adelaide, Australia, IEEE Catalog Number 99EX251
    • D. W. McMichael, L. Liu and H. P. Pan, "Estimating the parameters of mixed Bayesian networks from incomplete data," Proc. 1999 Information, Decision and Control (IDC'99), February, Adelaide, Australia, IEEE Catalog Number 99EX251, 1999.
    • (1999) Proc. 1999 Information, Decision and Control (IDC'99)
    • McMichael, D.W.1    Liu, L.2    Pan, H.P.3
  • 20
    • 0343799722 scopus 로고    scopus 로고
    • Learning hybrid Bayesian networks from data
    • ed. M. Jordan, Springer-Verlag, NY
    • S. Monti and G. F. Cooper, "Learning hybrid Bayesian networks from data," Learning and Inference in Graphical Models, ed. M. Jordan, Springer-Verlag, NY, 1998.
    • (1998) Learning and Inference in Graphical Models
    • Monti, S.1    Cooper, G.F.2
  • 21
    • 0342928606 scopus 로고    scopus 로고
    • An integrated approach for learning Bayesian networks under MAP/MDL criteria
    • (100 pp.), March (to be unclassified)
    • H. P. Pan, L. Liu and D. W. McMichael, "An integrated approach for learning Bayesian networks under MAP/MDL criteria," CSSIP Commercial Report CR 8/99 (100 pp.), March 1999 (to be unclassified).
    • (1999) CSSIP Commercial Report CR 8/99
    • Pan, H.P.1    Liu, L.2    McMichael, D.W.3
  • 23
    • 0040031141 scopus 로고
    • Technical Report R-155, Cognitive Systems Laboratory, Computer Science Department, UCLA
    • J. Pearl and T. Verma, "A formal theory of inductive causation," Technical Report R-155, Cognitive Systems Laboratory, Computer Science Department, UCLA, 1990.
    • (1990) A Formal Theory of Inductive Causation
    • Pearl, J.1    Verma, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.