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Volumn 2, Issue , 2008, Pages 680-691

Learning Markov network structure using few independence tests

Author keywords

[No Author keywords available]

Indexed keywords

ARTS COMPUTING; DATA MINING; INFERENCE ENGINES; LEARNING ALGORITHMS; MARKOV PROCESSES;

EID: 52649171391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972788.62     Document Type: Conference Paper
Times cited : (12)

References (22)
  • 1
    • 33747670266 scopus 로고    scopus 로고
    • Learning factor graphs in polynomial time and sample complexity
    • P. Abbeel, D. Koller, and A. Y. Ng. Learning factor graphs in polynomial time and sample complexity. Journal of Machine Learning Research, 7:1743-1788, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1743-1788
    • Abbeel, P.1    Koller, D.2    Ng, A.Y.3
  • 4
    • 0001051761 scopus 로고
    • On the computational complexity of Ising spin glass models
    • F. Barahona. On the computational complexity of Ising spin glass models. Journal of Physics A, 15(10):3241-3253, 1982.
    • (1982) Journal of Physics A , vol.15 , Issue.10 , pp. 3241-3253
    • Barahona, F.1
  • 12
    • 0033707946 scopus 로고    scopus 로고
    • Using Bayesian networks to analyze expression data
    • August
    • N. Friedman and M. Linial. Using Bayesian networks to analyze expression data. Journal of Computational Biology, 7(3-4) :601-620, August 2000.
    • (2000) Journal of Computational Biology , vol.7 , Issue.3-4 , pp. 601-620
    • Friedman, N.1    Linial, M.2
  • 13
    • 0021518209 scopus 로고
    • Stochastic relaxation, gibbs distributions, and the bayesian relation of images
    • S. Geman and D. Geman. Stochastic relaxation, gibbs distributions, and the bayesian relation of images. IEEE Transactions on PAMI, 6:721-741, 1984.
    • (1984) IEEE Transactions on PAMI , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 14
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • D. Heckerman, D. Geiger, and D. M. Chickering. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning, 1995.
    • (1995) Machine Learning
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.