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Volumn 1, Issue , 2002, Pages 683-686

Inference and modeling of multiply sectioned Bayesian networks

Author keywords

Bayesian networks; Complex Giant Systems; Inference; Multiply sectioned Bayesian networks

Indexed keywords

ALGORITHMS; LARGE SCALE SYSTEMS; SET THEORY;

EID: 0038675451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (5)
  • 1
    • 0033188982 scopus 로고    scopus 로고
    • Bucket elimination: A unifying framework for Reasoning
    • October
    • R. Dechter. Bucket Elimination: A unifying framework for Reasoning. In Artificial Intelligence, October 1999.
    • (1999) Artificial Intelligence
    • Dechter, R.1
  • 2
    • 0033188793 scopus 로고    scopus 로고
    • LAZY propagation: A junction tree inference algorithm based on lazy evaluation
    • Madsen, A.L. and Jensen, F.V. LAZY propagation: A junction tree inference algorithm based on lazy evaluation. Artificial Intelligence,113:203-245, 1999.
    • (1999) Artificial Intelligence , vol.113 , pp. 203-245
    • Madsen, A.L.1    Jensen, F.V.2
  • 4
    • 0033916466 scopus 로고    scopus 로고
    • Belief updating in multiply sectioned Bayesian networks without repeated local propagations
    • Y. Xiang, Belief updating in multiply sectioned Bayesian networks without repeated local propagations, International Journal of Approximate Reasoning, 23: 1-21, 2000.
    • (2000) International Journal of Approximate Reasoning , vol.23 , pp. 1-21
    • Xiang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.