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Volumn 21, Issue 3, 2006, Pages 335-348

A simulated annealing-based method for learning Bayesian networks from statistical data

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; MARKOV PROCESSES; MONTE CARLO METHODS; NUMERICAL METHODS; OPTIMIZATION; PROBLEM SOLVING; RANDOM PROCESSES;

EID: 33645281928     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.20138     Document Type: Conference Paper
Times cited : (16)

References (12)
  • 1
    • 0030124955 scopus 로고    scopus 로고
    • A guide to the literature on learning probabilistic networks from data
    • Buntine WL. A guide to the literature on learning probabilistic networks from data. IEEE Trans Knowl Data Eng 1996;8:195-210.
    • (1996) IEEE Trans Knowl Data Eng , vol.8 , pp. 195-210
    • Buntine, W.L.1
  • 3
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman D, Geiger D, Chickering DM. Learning Bayesian networks: The combination of knowledge and statistical data. Mach Learn 1995;20:197-243.
    • (1995) Mach Learn , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 4
    • 0004283231 scopus 로고    scopus 로고
    • Jordan MI, editor. Dordrecht: Kluwer
    • Jordan MI, editor. Learning in graphical models. Dordrecht: Kluwer; 1998.
    • (1998) Learning in Graphical Models
  • 5
    • 0042967741 scopus 로고    scopus 로고
    • Optimal structure identification with greedy search
    • Chickering DM. Optimal structure identification with greedy search. J Mach Learn Res 2002;3:507-554.
    • (2002) J Mach Learn Res , vol.3 , pp. 507-554
    • Chickering, D.M.1
  • 6
    • 0038517651 scopus 로고    scopus 로고
    • Finding optimal Bayesian networks
    • August 1-4, 2002, Univerity of Alberta, Edmonton, Alberta, Canada
    • Chickering DM, Meek C. Finding optimal Bayesian networks. In: Proc 18th Conf on Uncertainty in Artificial Intelligence, August 1-4, 2002, Univerity of Alberta, Edmonton, Alberta, Canada; 2002. pp 94-102.
    • (2002) Proc 18th Conf on Uncertainty in Artificial Intelligence , pp. 94-102
    • Chickering, D.M.1    Meek, C.2
  • 7
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • Geman D, Geman S. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans Patt Anal Mach Intell 1984;6:721-741.
    • (1984) IEEE Trans Patt Anal Mach Intell , vol.6 , pp. 721-741
    • Geman, D.1    Geman, S.2
  • 8
    • 0024715149 scopus 로고
    • Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing
    • Lakshmanan S, Derin H. Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing. IEEE Trans Patt Anal Mach Intell 1989;11: 799-813.
    • (1989) IEEE Trans Patt Anal Mach Intell , vol.11 , pp. 799-813
    • Lakshmanan, S.1    Derin, H.2
  • 12
    • 0003860037 scopus 로고    scopus 로고
    • Gilks WR, Richardson S, Spiegelhalter DJ, editors. London: Chapman and Hall
    • Gilks WR, Richardson S, Spiegelhalter DJ, editors. Markov chain Monte Carlo in practice. London: Chapman and Hall; 1996.
    • (1996) Markov Chain Monte Carlo in Practice


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.