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Volumn 8, Issue 2, 1998, Pages 159-173

An efficient algorithm for finding the M most probable configurations in probabilistic expert systems

Author keywords

Bayesian network; Belief revision; Charge; Conditional independence; Divide and conquer; Evidence; Flow; Junction tree; Marginalization; Maximization; Most probable explanation; Potential function; Propagation

Indexed keywords


EID: 0006776658     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008990218483     Document Type: Article
Times cited : (128)

References (15)
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    • (1990) Readings in Uncertainty , pp. 332-337
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  • 2
    • 0041692128 scopus 로고
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    • Cowell, R. G. (1992) BAIES - a probabilistic expert system shell with qualitative and quantitative learning. In J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith (eds) Bayesian Statistics 4th edn, pp. 595-600. Oxford: Clarendon Press.
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    • Cowell, R.G.1
  • 3
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    • Applications of a general propagation algorithm for probabilistic expert systems
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    • Dawid, A.P.1
  • 4
    • 0003999755 scopus 로고
    • Junction trees and decomposable hypergraphs
    • Judex Datasystemer A/S, Aalborg, Denmark F. V. (1990) Calculation in HUGIN of probabilities
    • Jensen, F. V. (1988) Junction trees and decomposable hypergraphs. Judex Research Report, Judex Datasystemer A/S, Aalborg, Denmark F. V. (1990) Calculation in HUGIN of probabilities.
    • (1988) Judex Research Report
    • Jensen, F.V.1
  • 5
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    • An algebra of Bayesian belief universes for knowledge-based systems
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    • Jensen, F.V.1    Olesen, K.G.2    Andersen, S.K.3
  • 8
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • Lauritzen, S. L. and Spiegelhalter, D. J. (1988) Local computations with probabilities on graphical structures and their application to expert systems (with discussion). Journal of the Royal Statistical Society Series B, 50, 157-224.
    • (1988) Journal of the Royal Statistical Society Series B , vol.50 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 9
    • 0004834215 scopus 로고
    • An efficient approach for finding MAP assignments to belief networks
    • Washington, Morgan Kaufmann
    • Li, Z. and D'Ambrosio, B. (1993) An efficient approach for finding MAP assignments to belief networks. In Proceedings of the 9th Conference on Uncertainty in AI, pp. 342-9. Washington, Morgan Kaufmann.
    • (1993) Proceedings of the 9th Conference on Uncertainty in AI , pp. 342-349
    • Li, Z.1    D'Ambrosio, B.2
  • 11
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  • 13
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    • Seroussi, B. and Golmard, J. L. (1994) An algorithm for finding the K most probable configurations in Bayesian networks. International Journal of Approximate Reasoning, 1, 205-33.
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    • Seroussi, B.1    Golmard, J.L.2
  • 14
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    • A recurrence local computation approach towards ordering composite beliefs in Bayesian belief networks
    • Sy, B. K. (1993) A recurrence local computation approach towards ordering composite beliefs in Bayesian belief networks. International Journal of Approximate Reasoning, 8, 17-50.
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    • Sy, B.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.