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Volumn 1, Issue , 2010, Pages 431-436

Properties of Bayesian Dirichlet scores to learn Bayesian network structures

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 77958539511     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (14)
  • 2
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    • Buntine, W.1
  • 3
    • 0042967741 scopus 로고    scopus 로고
    • Optimal structure identification with greedy search
    • Chickering, D. M. 2002. Optimal structure identification with greedy search. J. of Machine Learning Research 3:507-554.
    • (2002) J. of Machine Learning Research , vol.3 , pp. 507-554
    • Chickering, D.M.1
  • 4
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • Cooper, G. F., and Herskovits, E. 1992. A bayesian method for the induction of probabilistic networks from data. Machine Learning 9:309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 5
    • 71149111418 scopus 로고    scopus 로고
    • Structure learning of Bayesian networks using constraints
    • De Campos, C. P.; Zeng, Z.; and Ji, Q. 2009. Structure learning of Bayesian networks using constraints. In Int. Conf. on Machine Learning, 113-120.
    • (2009) Int. Conf. on Machine Learning , pp. 113-120
    • De Campos, C.P.1    Zeng, Z.2    Ji, Q.3
  • 6
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D.; Geiger, D.; and Chickering, D. M. 1995. Learning bayesian networks: The combination of knowledge and statistical data. Machine Learning 20(3): 197-243.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 8
    • 69249216907 scopus 로고    scopus 로고
    • Advances in exact bayesian structure discovery in bayesian networks
    • Koivisto, M. 2006. Advances in exact bayesian structure discovery in bayesian networks. In Conf. on Uncertainty in AI, 241-248.
    • (2006) Conf. on Uncertainty in AI , pp. 241-248
    • Koivisto, M.1
  • 9
    • 80051621069 scopus 로고    scopus 로고
    • Exact structure discovery in bayesian networks with less space
    • Parviainen, P., and Koivisto, M. 2009. Exact structure discovery in bayesian networks with less space. In Conf. on Uncertainty in AI, 2009.
    • (2009) Conf. on Uncertainty in AI , vol.2009
    • Parviainen, P.1    Koivisto, M.2
  • 10
    • 80053201441 scopus 로고    scopus 로고
    • A simple approach for finding the globally optimal bayesian network structure
    • Silander, T., and Myllymaki, P. 2006. A simple approach for finding the globally optimal bayesian network structure. In Conf. on Uncertainty in AI, 445-452.
    • (2006) Conf. on Uncertainty in AI , pp. 445-452
    • Silander, T.1    Myllymaki, P.2
  • 13
    • 36348929435 scopus 로고    scopus 로고
    • Ordering-based search: A simple and effective algorithm for learning bayesian networks
    • Teyssier, M., and Koller, D. 2005. Ordering-based search: A simple and effective algorithm for learning bayesian networks. In Conf. on Uncertainty in AI, 584-590.
    • (2005) Conf. on Uncertainty in AI , pp. 584-590
    • Teyssier, M.1    Koller, D.2
  • 14
    • 33746035971 scopus 로고    scopus 로고
    • The max-min hill-climbing bayesian network structure learning algorithm
    • Tsamardinos, I.; Brown, L. E.; and Aliferis, C. 2006. The max-min hill-climbing bayesian network structure learning algorithm. Machine Learning 65(1):31-78.
    • (2006) Machine Learning , vol.65 , Issue.1 , pp. 31-78
    • Tsamardinos, I.1    Brown, L.E.2    Aliferis, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.