메뉴 건너뛰기




Volumn 4265 LNAI, Issue , 2006, Pages 291-295

Learning Bayesian network equivalence classes from incomplete data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; EQUIVALENCE CLASSES; EVALUATION; MATHEMATICAL MODELS; OPTIMIZATION;

EID: 33750727071     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893318_29     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
    • 0031531764 scopus 로고    scopus 로고
    • A characterization of Markov equivalence classes for acyclic digraphs
    • S. A. Andersson, D. Madigan, and M. D. Perlman. A characterization of Markov equivalence classes for acyclic digraphs. Annals of Statistics, 25:505-541, 1997.
    • (1997) Annals of Statistics , vol.25 , pp. 505-541
    • Andersson, S.A.1    Madigan, D.2    Perlman, M.D.3
  • 2
    • 0031273462 scopus 로고    scopus 로고
    • Adaptive probabilistic networks with hidden variables
    • J. Binder, D. Koller, S. Russell and K. Kanazawa. Adaptive probabilistic networks with hidden variables. Machine Learning, 29:213-244, 1997.
    • (1997) Machine Learning , vol.29 , pp. 213-244
    • Binder, J.1    Koller, D.2    Russell, S.3    Kanazawa, K.4
  • 3
    • 0042967741 scopus 로고    scopus 로고
    • Optimal structure identification with greedy search
    • D. M. Chickering. Optimal Structure Identification With Greedy Search. Journal of Machine Learning Research, pages 507-554, 2002.
    • (2002) Journal of Machine Learning Research , pp. 507-554
    • Chickering, D.M.1
  • 7
    • 0001586968 scopus 로고    scopus 로고
    • Learning belief networks in the presence of missing values and hidden variables
    • N. Friedman. Learning belief networks in the presence of missing values and hidden variables. In 14th Conference of Machine Learning, 1997.
    • (1997) 14th Conference of Machine Learning
    • Friedman, N.1
  • 9
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • S. L. Lauritzen and D. J. Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society, 50(2):157-224, 1988.
    • (1988) Journal of the Royal Statistical Society , vol.50 , Issue.2 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 10
    • 84898959728 scopus 로고    scopus 로고
    • Estimating dependency structure as a hidden variable
    • M. Meila and M. I. Jordan. Estimating dependency structure as a hidden variable. In NIPS 10, 1998.
    • (1998) NIPS , vol.10
    • Meila, M.1    Jordan, M.I.2
  • 11
    • 0002788893 scopus 로고    scopus 로고
    • A View of the EM algorithm that justifies incremental sparse and other variants
    • R. M. Neal, G. E. Hinton. A View of the EM algorithm that justifies incremental sparse and other variants. Learning in Graphical Models, 1998.
    • (1998) Learning in Graphical Models
    • Neal, R.M.1    Hinton, G.E.2
  • 13
    • 0017133178 scopus 로고
    • Inference and missing data
    • D. Rubin. Inference and missing data. Biometrika, 63:581-592, 1976.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.1
  • 14
    • 33750695962 scopus 로고    scopus 로고
    • Learning Bayesian networks from incomplete data
    • M. Singh. Learning Bayesian networks from incomplete data. In AAAI97, 1997.
    • (1997) AAAI97
    • Singh, M.1
  • 15
    • 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, 20:579-605, 1990.
    • (1990) Networks , vol.20 , pp. 579-605
    • Spiegelhalter, D.J.1    Lauritzen, S.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.