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Volumn 2143, Issue , 2001, Pages 216-227

The search of causal orderings: A short cut for learning belief networks

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS;

EID: 84937406090     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-44652-4_20     Document Type: Conference Paper
Times cited : (9)

References (18)
  • 1
    • 0002501316 scopus 로고    scopus 로고
    • An algorithm for finding minimum d-separating sets in belief networks
    • E. Horvitz, F. Jensen (Eds.), Morgan and Kaufmann
    • S. Acid and L.M. de Campos. An algorithm for finding minimum d-separating sets in belief networks. In Proceedings of the Conference on Uncertainty in Artificial Intelligence, E. Horvitz, F. Jensen (Eds.), pages 3-10 Morgan and Kaufmann, 1996.
    • (1996) Proceedings of the Conference on Uncertainty in Artificial Intelligence , pp. 3-10
    • Acid, S.1    De Campos, L.M.2
  • 6
    • 0008543956 scopus 로고
    • Optimizing causal orderings for generating dag's from data
    • Morgan-Kaufmann
    • R. Bouckaert. Optimizing causal orderings for generating dag's from data. In Proc. Conf. on Uncertainty in Artificial Intelligence, pages 9-16. Morgan-Kaufmann, 1992.
    • (1992) Proc. Conf. on Uncertainty in Artificial Intelligence , pp. 9-16
    • Bouckaert, R.1
  • 7
    • 0030124955 scopus 로고    scopus 로고
    • A guide to the literature on learning probabilistic networks from data
    • W. Buntine. A guide to the literature on learning probabilistic networks from data. IEEE Transaction on Knowledge and Data Engineering, 8:195-210, 1996.
    • (1996) IEEE Transaction on Knowledge and Data Engineering , vol.8 , pp. 195-210
    • Buntine, W.1
  • 9
    • 0031185530 scopus 로고    scopus 로고
    • On the use of independence relationships for learning simplified belief networks
    • L.M. de Campos and J.F. Huete. On the use of independence relationships for learning simplified belief networks. Int. J. of Intelligent Systems, 12:495-522, 1997.
    • (1997) Int. J. of Intelligent Systems , vol.12 , pp. 495-522
    • De Campos, L.M.1    Huete, J.F.2
  • 10
    • 0034174383 scopus 로고    scopus 로고
    • A new approach for learning belief networks using independence criteria
    • L.M. de Campos and J.F. Huete. A new approach for learning belief networks using independence criteria. International Journal of Approximate Reasoning, 24(1)11- 37, 2000.
    • (2000) International Journal of Approximate Reasoning , vol.24 , Issue.1 , pp. 11-37
    • De Campos, L.M.1    Huete, J.F.2
  • 11
    • 0031345619 scopus 로고    scopus 로고
    • Learning belief networks form data: An information theory based approach
    • J. Cheng, D.A. Bell and W. Liu. Learning belief networks form data: An information theory based approach In Proc. of ACM CIKM'97, pages 325-331, 1997.
    • (1997) Proc. of ACM CIKM'97 , pp. 325-331
    • Cheng, J.1    Bell, D.A.2    Liu, W.3
  • 13
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • G.F. Cooper and E. Herskovits. A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9:309-347, 1992.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 17
    • 0001173999 scopus 로고
    • Construction of Bayesian networks structures from data: A survey and an efficient algorithm
    • M. Singh and M. Valtorta. Construction of Bayesian networks structures from data: A survey and an efficient algorithm. International Journal of Approximate Reasoning, 12:111-131, 1995.
    • (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.