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Volumn , Issue , 2008, Pages 41-48

A score based ranking of the edges for the PC algorithm

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; CONDITIONAL INDEPENDENCE TESTS; CONDITIONAL SETS; CUT SETS; INDEPENDENCE TESTS;

EID: 84869090030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (17)
  • 6
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • G.F. Cooper and E.A. Herskovits. 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.A.2
  • 7
    • 21944436304 scopus 로고    scopus 로고
    • A simple constraint-based algorithm for efficiently mining observational databases for causal relationships
    • G.F. Cooper. 1997. A simple constraint-based algorithm for efficiently mining observational databases for causal relationships. Data Mining and Knowledge Discovery, 1:203-224.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 203-224
    • Cooper, G.F.1
  • 9
    • 0012315692 scopus 로고    scopus 로고
    • A Bayesian approach to causal discovery
    • C. Gly-mour and G.F. Cooper, editors AAAI Press
    • D. Heckerman, C. Meek, and G. Cooper. 1999. A Bayesian approach to causal discovery. In C. Gly-mour and G.F. Cooper, editors, Computation, Causation, and Discovery, pages 141-165. AAAI Press.
    • (1999) Computation, Causation, and Discovery , pp. 141-165
    • Heckerman, D.1    Meek, C.2    Cooper, G.3
  • 11
    • 0001247275 scopus 로고
    • Propagating uncertainty by logic sampling in Bayes networks
    • J. Lemmer and L.N. Kanal, editors Horth-Holland, Amsterdam
    • M. Henrion. 1988. Propagating uncertainty by logic sampling in Bayes networks. In J. Lemmer and L.N. Kanal, editors, Uncertainty in Artificial Intelligence, 2, pages 149-164. Horth-Holland, Amsterdam.
    • (1988) Uncertainty in Artificial Intelligence , vol.2 , pp. 149-164
    • Henrion, M.1
  • 16
    • 33746035971 scopus 로고    scopus 로고
    • The max-min hill-climbing Bayesian network structure learning algorithm
    • I. Tsamardinos, L. E. Brown, and C. F. Alif-eris. 2006. The max-min hill-climbing Bayesian network structure learning algorithm. Machine Learning, 65:31-78.
    • (2006) Machine Learning , vol.65 , pp. 31-78
    • Tsamardinos, I.1    Brown, L.E.2    Alif-Eris, C.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.