메뉴 건너뛰기




Volumn , Issue , 2003, Pages 323-330

Learning Bayesian networks from incomplete data based on EMI method

Author keywords

[No Author keywords available]

Indexed keywords


EID: 33646839863     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 1
    • 0030124955 scopus 로고    scopus 로고
    • A guide to the literature on learning probabilistic networks from data
    • W. Buntine. A guide to the literature on learning probabilistic networks from data. IEEE Transactions on Knowledge and Data Engineering, 8(2):195-210, 1996. (Pubitemid 126776290)
    • (1996) IEEE Transactions on Knowledge and Data Engineering , vol.8 , Issue.2 , pp. 195-210
    • Buntine, W.1
  • 3
    • 0036567524 scopus 로고    scopus 로고
    • Learning Bayesian networks from data: An information-theory based approach
    • DOI 10.1016/S0004-3702(02)00191-1, PII S0004370202001911
    • J. Cheng, R. Greiner, J. Kelly, D. Bell, and W. Liu. Learning bayesian networks from data: an information-theory based approach. The Artificial Intelligence Journal, 137:43-90, 2002. (Pubitemid 34405215)
    • (2002) Artificial Intelligence , vol.137 , Issue.1-2 , pp. 43-90
    • Cheng, J.1    Greiner, R.2    Kelly, J.3    Bell, D.4    Liu, W.5
  • 4
    • 0031272327 scopus 로고    scopus 로고
    • Efficient approximations for the marginal likelihood of bayesian networks with hidden variables
    • D. M. Chickering and D. Heckerman. Efficient approximations for the marginal likelihood of bayesian networks with hidden variables. Machine Learning, 29(2-3):181-212, 1997.
    • (1997) Machine Learning , vol.29 , Issue.2-3 , pp. 181-212
    • Chickering, D.M.1    Heckerman, D.2
  • 5
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • November
    • C. Chow and C. Liu. Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14:462-467, November 1968.
    • (1968) IEEE Transactions on Information Theory , vol.14 , pp. 462-467
    • Chow, C.1    Liu, C.2
  • 6
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • G. Cooper and E. Herskovits. A bayesian method for the induction of probabilistic networks from data. Machine Learning, 9:309-347, 1992.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.1    Herskovits, E.2
  • 8
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • D. Heckerman, D. Geiger, and D. Chickering. Learning bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20:197-243, 1995.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 9
    • 0028482006 scopus 로고
    • Learning bayesian belief networks: An approach based on the mdl principle
    • W. Lam and F. Bacchus. Learning bayesian belief networks: An approach based on the mdl principle. Computational Intelligence, 10:269-293, 1994.
    • (1994) Computational Intelligence , vol.10 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 10
    • 1642340376 scopus 로고    scopus 로고
    • Learning bayesian networks from incomplete data using evolutionary algorithms
    • J. W. Myers, K. B. Laskey, and K. A. DeJong. Learning bayesian networks from incomplete data using evolutionary algorithms. GECCO'99, 1999.
    • (1999) GECCO'99
    • Myers, J.W.1    Laskey, K.B.2    DeJong, K.A.3
  • 13
  • 15
    • 84942892611 scopus 로고    scopus 로고
    • Learning bayesian networks with hidden variables using the combination of em and evolutionary algorithm
    • F. Tian, Y. Lu, and C. Shi. Learning bayesian networks with hidden variables using the combination of em and evolutionary algorithm. PAKDD 2001, Hong Kong, China, Aril 2001 Proceeding, pages 568-574, 2001.
    • (2001) PAKDD 2001, Hong Kong, China, Aril 2001 Proceeding , pp. 568-574
    • Tian, F.1    Lu, Y.2    Shi, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.