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Volumn 20, Issue 5, 1990, Pages 507-534

Identifying independence in bayesian networks

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[No Author keywords available]

Indexed keywords


EID: 84986959240     PISSN: 00283045     EISSN: 10970037     Source Type: Journal    
DOI: 10.1002/net.3230200504     Document Type: Article
Times cited : (359)

References (29)
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    • Graphoids–A qualitative framework for probabilistic inference. Ph. D dissertation, UCLA
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    • Geiger, D.1
  • 9
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    • On the logic of causal models. Proceedings of the 4th Workshop on Uncertainty in AI, St. Paul, MN, August
    • (1988) , pp. 136-147
    • Geiger, D.1    Pearl, J.2
  • 10
    • 84987020878 scopus 로고
    • Logical and algorithmic properties of conditional independence. Technical Report 870056 (R‐97), UCLA Cognitive Systems Laboratory February To appear in Ann. Statist.
    • (1988)
    • Geiger, D.1    Pearl, J.2
  • 17
    • 84986984697 scopus 로고
    • On representing and solving decision problems. Ph. D. Thesis, EES Dept., Stanford University
    • (1983)
    • Olmsted, S.M.1
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    • Fusion, propagation and structuring in belief networks
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    • (1986) Artificial Intell. , vol.29 , Issue.3 , pp. 241-288
    • Pearl, J.1
  • 26
    • 0041027690 scopus 로고
    • Stochastic independence, causal independence, and shieldability
    • (1980) J. Phil. Logic , vol.9 , pp. 73-99
    • Spohn, W.1
  • 28
    • 84986994272 scopus 로고
    • Some mathematical properties of dependency models. UCLA Cognitive Systems Laboratory, Technical Reports R‐103
    • (1987)
    • Verma, T.S.1
  • 29
    • 0001779012 scopus 로고
    • Causal networks: Semantics and expressiveness. Proceedings of the 4th Workshop on Uncertainty in AI, St. Paul, MN
    • (1988) , pp. 352-359
    • Verma, T.1    Pearl, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.