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Volumn 1910, Issue , 2000, Pages 309-315

Learning right sized belief networks by means of a hybrid methodology

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; ECONOMIC AND SOCIAL EFFECTS; PETROLEUM RESERVOIR EVALUATION;

EID: 27344447102     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_30     Document Type: Conference Paper
Times cited : (4)

References (16)
  • 3
    • 0002432952 scopus 로고    scopus 로고
    • Benedict: An algorithm for learning probabilistic belief networks
    • S. Acid, L.M. de Campos. Benedict: An algorithm for learning probabilistic belief networks. in: Proceedings of the 6th IPMU Conf., 1996, 979-984.
    • (1996) Proceedings of the 6th IPMU Conf. , pp. 979-984
    • Acid, S.1    De Campos, L.M.2
  • 5
    • 0034174383 scopus 로고    scopus 로고
    • A new approach for learning belief networks using independence criteria
    • L.M. de Campos, J.F. Huete. A new approach for learning belief networks using independence criteria. Int. Journal of Approximate Reasoning 24 (2000) 11-37.
    • (2000) Int. Journal of Approximate Reasoning , vol.24 , pp. 11-37
    • De Campos, L.M.1    Huete, J.F.2
  • 6
    • 84974738979 scopus 로고    scopus 로고
    • Approximating causal orderings for Bayesian net- works using genetic algorithms and simulated annealing
    • to appear
    • L.M. de Campos, J.F. Huete. Approximating causal orderings for Bayesian net- works using genetic algorithms and simulated annealing. in: Proceedings of the IPMU-2000 Conf., to appear.
    • Proceedings of the IPMU-2000 Conf.
    • De Campos, L.M.1    Huete, J.F.2
  • 8
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • G.F. Cooper, E. Herskovits. A bayesian method for the induction of probabilistic networks from data. Machine Learning 9 (4) (1992) 309-348.
    • (1992) Machine Learning , vol.9 , Issue.4 , pp. 309-348
    • Cooper, G.F.1    Herskovits, E.2
  • 10
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • D.Heckerman, D.Geiger, D.M. Chickering. Learning bayesian networks: The combination of knowledge and statistical data. Machine Learning 20 (1995) 197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 11
    • 0008605871 scopus 로고
    • Kutató: An entropy-driven system for the construction of probabilistic expert systems from databases
    • P. Bonissone (Ed.), Cambridge
    • E. Herskovits, G.F. Cooper. Kutató: An entropy-driven system for the construction of probabilistic expert systems from databases. in: P. Bonissone (Ed.), Proceedings of the 6th Conf. on Uncertainty in Artificial Intelligence, Cambridge, 1990, 54-62.
    • (1990) Proceedings of the 6th Conf. on Uncertainty in Artificial Intelligence , pp. 54-62
    • Herskovits, E.1    Cooper, G.F.2
  • 12
    • 0028482006 scopus 로고
    • Learning bayesian belief networks. an approach based on the mdl principle
    • W. Lam, F. Bacchus. Learning bayesian belief networks. an approach based on the mdl principle. Computational Intelligence 10(4) (1994) 269-293.
    • (1994) Computational Intelligence , vol.10 , Issue.4 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 14
    • 0001173999 scopus 로고
    • Construction of Bayesian network structures from data: A brief survey and an efficient algorithm
    • M. Singh, M. Valtorta. Construction of Bayesian network structures from data: A brief survey and an efficient algorithm. International Journal of Approximate Reasoning 12 (1995) 111-131.
    • (1995) International Journal of Approximate Reasoning , vol.12 , pp. 111-131
    • Singh, M.1    Valtorta, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.