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Volumn , Issue , 2006, Pages 1-8

Some variations on the PC algorithm

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; CHI-SQUARE TESTS; CUT SETS; GREEDY OPTIMIZATION; JOINT PROBABILITY DISTRIBUTIONS; LEARNING TASKS; STATISTICAL DECISION;

EID: 84874740986     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (22)
  • 4
    • 0037322292 scopus 로고    scopus 로고
    • Learning bayesian networks in the space of structures by estimation of distribution algorithms
    • R. Blanco, I. Inza, and P. Larraaga. 2003. Learning bayesian networks in the space of structures by estimation of distribution algorithms. International Journal of Intelligent Systems, 18:205-220.
    • (2003) International Journal of Intelligent Systems , vol.18 , pp. 205-220
    • Blanco, R.1    Inza, I.2    Larraaga, P.3
  • 8
    • 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
  • 9
    • 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
  • 12
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • D. Heckerman, D. Geiger, and D.M. Chickering. 1995. Learning bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20:197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 13
    • 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
  • 16
    • 33746182041 scopus 로고    scopus 로고
    • The hugin tool for learning networks
    • T. D. Nielsen and N.L. Zhang, editors Springer-Verlag
    • A.L. Madsen, M. Land, U.F. Kjærulff, and F. Jensen. 2003. The hugin tool for learning networks. In T.D. Nielsen and N.L. Zhang, editors, Proceedings of ECSQARU 2003, pages 594-605. Springer-Verlag.
    • (2003) Proceedings of ECSQARU 2003 , pp. 594-605
    • Madsen, A.L.1    Land, M.2    Kjærulff, U.F.3    Jensen, F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.