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Volumn , Issue , 1997, Pages 452-458

Continuous sigmoidal belief networks trained using slice sampling

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC);

EID: 84898944413     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (14)
  • 1
    • 0001424016 scopus 로고    scopus 로고
    • EM optimization of latent-variable density models
    • D. Touretzky, M. Mozer, and M. Hasselmo (editors), MIT Press, Cambridge, MA
    • Bishop, C. M, Svensen, M., and Williams, C.K.I. 1996. EM optimization of latent-variable density models. In D. Touretzky, M. Mozer, and M. Hasselmo (editors), Advances in Neural Information Processing Systems 8, MIT Press, Cambridge, MA.
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Bishop, C.M.1    Svensen, M.2    Williams, C.K.I.3
  • 3
    • 0002594891 scopus 로고
    • Learning bayesian networks: A unification for discrete and gaussian domains
    • P. Besnard and S. Hanks (editors), Morgan Kaufmann, San Francisco, CA
    • Heckerman, D., and Geiger, D. 1994. Learning Bayesian networks: a unification for discrete and Gaussian domains. In P. Besnard and S. Hanks (editors), Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, 274-284.
    • (1994) Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence , pp. 274-284
    • Heckerman, D.1    Geiger, D.2
  • 4
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton, G. E., Dayan, P., Frey, B. J., and Neal, R. M. 1995. The wake-sleep algorithm for unsupervised neural networks. Science 268, 1158-1161.
    • (1995) Science , vol.268 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 6
    • 4244093461 scopus 로고    scopus 로고
    • Discovering structure in continuous variables using Bayesian networks
    • D. Touretzky, M. Mozer, and M. Hasselmo (editors) MIT Press, Cambridge, MA
    • Hofmann, R., and Tresp, V. 1996. Discovering structure in continuous variables using Bayesian networks. In D. Touretzky, M. Mozer, and M. Hasselmo (editors), Advances in Neural Information Processing Systems 8, MIT Press, Cambridge, MA.
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Hofmann, R.1    Tresp, V.2
  • 7
    • 0011876592 scopus 로고    scopus 로고
    • Fast learning by bounding likelihoods in sigmoid type belief networks
    • D. Touretzky, M. Mozer and M. Hasselmo (editors), MIT Press, Cambridge, MA
    • Jaakkola, T., Saul, L. K., and Jordan, M. I. 1996. Fast learning by bounding likelihoods in sigmoid type belief networks. In D. Touretzky, M. Mozer and M. Hasselmo (editors), Advances in Neural Information Processing Systems 8, MIT Press, Cambridge, MA.
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Jaakkola, T.1    Saul, L.K.2    Jordan, M.I.3
  • 8
    • 84987049628 scopus 로고
    • Independence properties of directed markov fields
    • Lauritzen, S. L., Dawid, A. P., Larsen, B. N., and Leimer, H. G. 1990. Independence properties of directed Markov Fields. Networks 20, 491-505.
    • (1990) Networks , vol.20 , pp. 491-505
    • Lauritzen, S.L.1    Dawid, A.P.2    Larsen, B.N.3    Leimer, H.G.4
  • 10
    • 0003903815 scopus 로고
    • Learning continuous probability distributions with symmetric diffusion networks
    • Movellan, J. R., and McClelland, J. L. 1992. Learning continuous probability distributions with symmetric diffusion networks. Cognitive Science 17, 463-496.
    • (1992) Cognitive Science , vol.17 , pp. 463-496
    • Movellan, J.R.1    McClelland, J.L.2
  • 11
    • 44049116681 scopus 로고
    • Connectionist learning of belief networks
    • Neal, R. M. 1992. Connectionist learning of belief networks. Artificial Intelligence 56, 71-113.
    • (1992) Artificial Intelligence , vol.56 , pp. 71-113
    • Neal, R.M.1
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.