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Volumn 5, Issue 4, 1993, Pages 315-340

A tutorial introduction to stochastic simulation algorithms for belief networks

Author keywords

belief networks; Stochastic simulation algorithms

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; GRAPHIC METHODS; INFERENCE ENGINES; MEDICAL APPLICATIONS; PROBABILITY; TOPOLOGY;

EID: 0027640933     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/0933-3657(93)90020-4     Document Type: Article
Times cited : (17)

References (27)
  • 2
    • 84911230387 scopus 로고
    • Architectures and approximation algorithms for probabilistic expert systems
    • Stanford University
    • (1990) Ph.D. thesis
    • Chavez1
  • 3
    • 84987047932 scopus 로고
    • A randomized approximation algorithm for probabilistic inference on bayesian belief networks
    • (1990) Networks , vol.20 , pp. 661-685
    • Chavez1    Cooper2
  • 6
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using Bayesian belief networks
    • (1990) Artificial Intelligence , vol.42 , pp. 393-405
    • Cooper1
  • 8
    • 84911234999 scopus 로고    scopus 로고
    • wuarchive.wustl.edu xxx wuarchive.wustl.edu
  • 12
    • 84911264634 scopus 로고
    • Approximating probabilistic inference in Bayesian belief networks is NP-hard
    • Mecial Computer Science Group, Stanford University, Stanford, CA
    • (1991) Technical Report KSL-91-53
    • Dagum1    Luby2
  • 20
    • 84911234997 scopus 로고    scopus 로고
    • R.D. Shachter and M.A. Peot. Evidential reasoning using likelihood weighting, submitted for publication.
  • 23
    • 0026010360 scopus 로고
    • An empirical analysis of likelihood-weighting simulation on a large, multiplyconnected medical belief network
    • (1991) Comput. Biomed. Res. , vol.24 , Issue.5 , pp. 453-475
    • Shwe1    Cooper2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.