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Volumn , Issue , 1998, Pages 584-590

Estimating dependency structure as a hidden variable

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

EID: 84898959728     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (11)
  • 1
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • Chow, C. K. and Liu, C. N. (1968). Approximating discrete probability distributions with dependence trees. "IEEE Transactions on Information Theory ", IT-14(3):462-467.
    • (1968) IEEE Transactions on Information Theory , vol.IT-14 , Issue.3 , pp. 462-467
    • Chow, C.K.1    Liu, C.N.2
  • 3
    • 85156256883 scopus 로고    scopus 로고
    • Does the wake-sleep algorithm produce good density estimators?
    • Touretsky, D. Mozer, M. and Hasselmo, M. editors, MIT Press
    • Frey, B. J., Hinton, G. E., and Dayan, P. (1996). Does the wake-sleep algorithm produce good density estimators? In Touretsky, D., Mozer, M., and Hasselmo, M., editors, Neural Information Processing Systems, number 8, pages 661-667. MIT Press.
    • (1996) Neural Information Processing Systems , Issue.8 , pp. 661-667
    • Frey, B.J.1    Hinton, G.E.2    Dayan, P.3
  • 5
    • 0041315314 scopus 로고
    • An entropy-based learning algorithm of bayesian conditional trees
    • Morgan Kaufmann Publishers
    • Geiger, D. (1992). An entropy-based learning algorithm of bayesian conditional trees. In Proceedings of the 8th Conference on Uncertainty in AI, pages 92-97. Morgan Kaufmann Publishers.
    • (1992) Proceedings of the 8th Conference on Uncertainty in AI , pp. 92-97
    • Geiger, D.1
  • 6
    • 0030125397 scopus 로고    scopus 로고
    • Knowledge representation and inference in similarity networks and bayesian multinets
    • Geiger, D. (1996). Knowledge representation and inference in similarity networks and bayesian multinets. "A rtificial Intelligence ", 82:45-74.
    • (1996) A Rtificial Intelligence , vol.82 , pp. 45-74
    • Geiger, D.1
  • 7
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D., Geiger, D., and Chickering, D. M. (1995). Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20(3): 197-243.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.