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Volumn 2, Issue , 2005, Pages 825-830

Distribution-free learning of bayesian network structure in continuous domains

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORK; CONDITIONAL PROBABILITIES; CONTINUOUS DOMAINS;

EID: 29344470807     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (51)

References (11)
  • 1
    • 85139983802 scopus 로고
    • Supervised and unsupervised discretization of continuous features
    • Prieditis, A., and Russel, S., eds. Morgan Kaufmann Publishers, San Francisco, CA
    • Dougherty, J.; Kohavi, R.; and Sahami, M. 1995. Supervised and unsupervised discretization of continuous features. In Prieditis, A., and Russel, S., eds., Proceedings of the Twelfth International Conference on Machine Learning, 194-202. Morgan Kaufmann Publishers, San Francisco, CA.
    • (1995) Proceedings of the Twelfth International Conference on Machine Learning , pp. 194-202
    • Dougherty, J.1    Kohavi, R.2    Sahami, M.3
  • 3
    • 0004675530 scopus 로고
    • Learning gaussian networks
    • Microsoft Research, Advanced Technology Division
    • Geiger, D., and Heckerman, D. 1994. Learning gaussian networks. Technical Report MSR-TR-94-10, Microsoft Research, Advanced Technology Division.
    • (1994) Technical Report , vol.MSR-TR-94-10
    • Geiger, D.1    Heckerman, D.2
  • 4
    • 0003846041 scopus 로고
    • A tutorial on learning Bayesian networks
    • Microsoft Research, Advanced Technology Division
    • Heckerman, D. 1995. A tutorial on learning Bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, Advanced Technology Division.
    • (1995) Technical Report , vol.MSR-TR-95-06
    • Heckerman, D.1
  • 5
    • 0028482006 scopus 로고
    • Learning Bayesian belief networks: An approach based on the MDL principle
    • Lam, W., and Bacchus, F. 1994. Learning Bayesian belief networks: an approach based on the MDL principle. Computational Intelligence 10:269-293.
    • (1994) Computational Intelligence , vol.10 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 6
  • 7
    • 29344452454 scopus 로고    scopus 로고
    • A Bayesian multiresolution independence test for continuous variables
    • Morgan Kaufmann
    • Margaritis, D., and Thrun, S. 2001. A Bayesian multiresolution independence test for continuous variables. In Uncertainty in Artificial Intelligence (UAI), 346-353. Morgan Kaufmann.
    • (2001) Uncertainty in Artificial Intelligence (UAI) , pp. 346-353
    • Margaritis, D.1    Thrun, S.2
  • 9
    • 0018734781 scopus 로고
    • On optimal and data-based histograms
    • Scott, D. W. 1979. On optimal and data-based histograms. Biometrika 66:605-610.
    • (1979) Biometrika , vol.66 , pp. 605-610
    • Scott, D.W.1
  • 10
    • 0003545910 scopus 로고
    • Wiley series in probability and mathematical statistics. John Wiley & Sons, Inc.
    • Scott, D. W. 1992. Multivariate Density Estimation. Wiley series in probability and mathematical statistics. John Wiley & Sons, Inc.
    • (1992) Multivariate Density Estimation
    • Scott, D.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.