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Volumn , Issue , 2007, Pages 360-367

On sensitivity of the MAP Bayesian network structure to the equivalent sample size parameter

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORK STRUCTURE; HIGHLY SENSITIVE; MARGINAL LIKELIHOOD; MODEL SELECTION CRITERIA; NETWORK STRUCTURES; PARAMETER VALUES; SAMPLE DATA; SAMPLE SIZES; SCORING CRITERIA; SHOW THROUGH; SINGLE PARAMETER;

EID: 70350678796     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (83)

References (11)
  • 2
    • 31844439894 scopus 로고    scopus 로고
    • Exact Bayesian structure discovery in Bayesian networks
    • May
    • M. Koivisto and K. Sood. Exact Bayesian structure discovery in Bayesian networks. Journal of Machine Learning Research, 5:549-573, May 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 549-573
    • Koivisto, M.1    Sood, K.2
  • 5
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • September
    • D. Heckerman, D. Geiger, and D.M. Chickering. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20(3):197-243, September 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 6
    • 0001926525 scopus 로고
    • Theory refinement on Bayesian networks
    • B. D'Ambrosio, P. Smets, and P. Bonissone, editors Morgan Kaufmann Publishers
    • W. Buntine. Theory refinement on Bayesian networks. In B. D'Ambrosio, P. Smets, and P. Bonissone, editors, Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, pages 52-60. Morgan Kaufmann Publishers, 1991.
    • (1991) Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence , pp. 52-60
    • Buntine, W.1
  • 8
    • 85156264409 scopus 로고    scopus 로고
    • On the dirichlet prior and Bayesian regularization
    • Suzanna Becker, Sebastian Thrun, and Klaus Obermayer, editors MIT Press
    • Harald Steck and Tommi Jaakkola. On the dirichlet prior and bayesian regularization. In Suzanna Becker, Sebastian Thrun, and Klaus Obermayer, editors, NIPS, pages 697-704. MIT Press, 2002.
    • (2002) NIPS , pp. 697-704
    • Steck, H.1    Jaakkola, T.2
  • 9
    • 0037262841 scopus 로고    scopus 로고
    • Being Bayesian about network structure: A Bayesian approach tostructure discovery in Bayesian networks
    • N. Friedman and D. Koller. Being bayesian about network structure: A bayesian approach tostructure discovery in bayesian networks. Machine Learning, 50:95-126, 2003.
    • (2003) Machine Learning , vol.50 , pp. 95-126
    • Friedman, N.1    Koller, D.2
  • 10
    • 0029777083 scopus 로고    scopus 로고
    • Fisher information and stochastic complexity
    • PII S0018944896000107
    • J. Rissanen. Fisher information and stochastic complexity. IEEE Transactions on Information Theory, 42(1):40-47, January 1996. (Pubitemid 126775655)
    • (1996) IEEE Transactions on Information Theory , vol.42 , Issue.1 , pp. 40-47
    • Rissanen, J.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.