메뉴 건너뛰기




Volumn 6, Issue 4, 1996, Pages 275-285

Efficient inferencing for sigmoid Bayesian networks by reducing sampling space

Author keywords

Bayesian network; Gibbs sampling; Inferencing

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION THEORY; INFERENCE ENGINES; LEARNING ALGORITHMS; PROBABILITY; SAMPLING;

EID: 0030260552     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00132734     Document Type: Article
Times cited : (3)

References (14)
  • 1
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inferencing using Bayesian networks
    • G. Cooper, "The computational complexity of probabilistic inferencing using Bayesian networks," Artificial Intelligence, vol. 42, pp. 393-405, 1990.
    • (1990) Artificial Intelligence , vol.42 , pp. 393-405
    • Cooper, G.1
  • 2
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic methods from data
    • G. Cooper and E. Herskovits, "A Bayesian method for the induction of probabilistic methods from data," Machine Learning, vol. 9, pp. 54-62, 1992.
    • (1992) Machine Learning , vol.9 , pp. 54-62
    • Cooper, G.1    Herskovits, E.2
  • 3
    • 0027560587 scopus 로고
    • Approximate probabilistic inference in Bayesian belief networks is NP-hard
    • P. Dagum and M. Luby, "Approximate probabilistic inference in Bayesian belief networks is NP-hard," Artificial Intelligence, vol. 60, pp. 141-153, 1993.
    • (1993) Artificial Intelligence , vol.60 , pp. 141-153
    • Dagum, P.1    Luby, M.2
  • 4
    • 84950453304 scopus 로고
    • Sampling-based approaches to calculating marginal densities
    • A.E. Gelfand and A.F.M. Smith, "Sampling-based approaches to calculating marginal densities," J. of the American Statistical Association, vol. 85, no. 410, pp. 398-409, 1990.
    • (1990) J. of the American Statistical Association , vol.85 , Issue.410 , pp. 398-409
    • Gelfand, A.E.1    Smith, A.F.M.2
  • 7
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The Penn Treebank
    • M.P. Marcus, B. Santorini, and M.A. Marcinkiewicz, "Building a large annotated corpus of English: The Penn Treebank," Computational Linguistics, vol. 19, no. 2, pp. 313-330, 1993.
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.P.1    Santorini, B.2    Marcinkiewicz, M.A.3
  • 8
    • 5744249209 scopus 로고
    • Equation of state calculations by fast computing machines
    • N. Metropolis, A.W. Rosenbluth, A.M. Teller, and E. Teller, "Equation of state calculations by fast computing machines," J. Chem. Phys., vol. 21, no. 6, pp. 1087-1092, 1953.
    • (1953) J. Chem. Phys. , vol.21 , Issue.6 , pp. 1087-1092
    • Metropolis, N.1    Rosenbluth, A.W.2    Teller, A.M.3    Teller, E.4
  • 9
    • 44049116681 scopus 로고
    • Connectionist learning of Bayesian networks
    • R.M. Neal, "Connectionist learning of Bayesian networks," Artificial Intelligence, vol. 56, pp. 71-113, 1992.
    • (1992) Artificial Intelligence , vol.56 , pp. 71-113
    • Neal, R.M.1
  • 11
    • 0024038570 scopus 로고
    • Probabilistic inferencing and influence diagrams
    • R.D. Shachter, "Probabilistic inferencing and influence diagrams," Operations Research, vol. 36, no. 4, pp. 589-604, 1988.
    • (1988) Operations Research , vol.36 , Issue.4 , pp. 589-604
    • Shachter, R.D.1
  • 13
    • 84986980101 scopus 로고
    • Sequential updating of conditional probabilities on directed graphical structures
    • D.J. Spiegelhalter and S.L. Lauritzen, "Sequential updating of conditional probabilities on directed graphical structures," Networks, vol. 20, pp. 579-605, 1990.
    • (1990) Networks , vol.20 , pp. 579-605
    • Spiegelhalter, D.J.1    Lauritzen, S.L.2
  • 14
    • 38249013485 scopus 로고
    • Use of the Gibbs sampler in expert systems
    • J. York, "Use of the Gibbs sampler in expert systems," Artificial Intelligence, vol. 56, pp. 115-130, 1992.
    • (1992) Artificial Intelligence , vol.56 , pp. 115-130
    • York, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.