-
1
-
-
0001578518
-
A learning algorithm for Boltzmann machines
-
Ackley, D., Hinton, G., & Sejnowski, T. (1985) A learning algorithm for Boltzmann machines. Cognitive Science, 9, 147-169.
-
(1985)
Cognitive Science
, vol.9
, pp. 147-169
-
-
Ackley, D.1
Hinton, G.2
Sejnowski, T.3
-
3
-
-
0025401005
-
Computational complexity of probabilistic inference using Bayesian belief networks
-
Cooper, G. (1990) Computational complexity of probabilistic inference using Bayesian belief networks. Artificial Intelligence, 42, 393-405.
-
(1990)
Artificial Intelligence
, vol.42
, pp. 393-405
-
-
Cooper, G.1
-
5
-
-
0027560587
-
Approximately probabilistic reasoning in Bayesian belief networks is NP-hard
-
Dagum, P., & Luby, M. (1993) Approximately probabilistic reasoning in Bayesian belief networks is NP-hard. Artificial Intelligence, 60, 141-153.
-
(1993)
Artificial Intelligence
, vol.60
, pp. 141-153
-
-
Dagum, P.1
Luby, M.2
-
6
-
-
0029372831
-
The Helmholtz machine
-
Dayan, P., Hinton, G., Neal, R., & Zemel, R. (1995) The Helmholtz machine. Neural Computation, 7, 889-904.
-
(1995)
Neural Computation
, vol.7
, pp. 889-904
-
-
Dayan, P.1
Hinton, G.2
Neal, R.3
Zemel, R.4
-
7
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A., Laird, N., and Rubin, D. (1977) Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B39, 1-38.
-
(1977)
Journal of the Royal Statistical Society
, vol.B39
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
8
-
-
85156256883
-
Does the wake-sleep algorithm learn good density estimators?
-
D. Touretzky, M. Mozer, and M. Hasselmo (eds).
-
Frey, B., Hinton, G., & Dayan, P. (1995) Does the wake-sleep algorithm learn good density estimators? In D. Touretzky, M. Mozer, and M. Hasselmo (eds). Advances of Neural Information Processing Systems: Proceedings of the 1995 Conference.
-
(1995)
Advances of Neural Information Processing Systems: Proceedings of the 1995 Conference
-
-
Frey, B.1
Hinton, G.2
Dayan, P.3
-
9
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
Geman, S., & Geman, D. (1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-741.
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
10
-
-
0003979924
-
-
Redwood City, CA: Addison-Wesley
-
Hertz, J., Krogh, A., and Palmer, R. G. (1991) Introduction to the Theory of Neural Computation. Redwood City, CA: Addison-Wesley.
-
(1991)
Introduction to the Theory of Neural Computation
-
-
Hertz, J.1
Krogh, A.2
Palmer, R.G.3
-
11
-
-
0029652445
-
The wake-sleep algorithm for unsupervised neural networks
-
Hinton, G., Dayan, P., Frey, B., & Neal, R. (1995) The wake-sleep algorithm for unsupervised neural networks. Science, 268, 1158-1161.
-
(1995)
Science
, vol.268
, pp. 1158-1161
-
-
Hinton, G.1
Dayan, P.2
Frey, B.3
Neal, R.4
-
13
-
-
8644262205
-
Fast learning by bounding likelihoods in sigmoid-type belief networks
-
D. Touretzky, M. Mozer, and M. Hasselmo (eds).
-
Jaakkola, T., Saul, L., & Jordan, M. (1995) Fast learning by bounding likelihoods in sigmoid-type belief networks. In D. Touretzky, M. Mozer, and M. Hasselmo (eds). Advances of Neural Information Processing Systems: Proceedings of the 1995 Conference.
-
(1995)
Advances of Neural Information Processing Systems: Proceedings of the 1995 Conference
-
-
Jaakkola, T.1
Saul, L.2
Jordan, M.3
-
16
-
-
0001022491
-
Blocking Gibbs sampling in very large probabilistic expert systems
-
Special Issue on Real-World Applications of Uncertain Reasoning
-
Jensen, C. S., Kong, A., & Kjaerulff, U. (1995) Blocking Gibbs sampling in very large probabilistic expert systems. International Journal of Human Computer Studies. Special Issue on Real-World Applications of Uncertain Reasoning.
-
(1995)
International Journal of Human Computer Studies
-
-
Jensen, C.S.1
Kong, A.2
Kjaerulff, U.3
-
17
-
-
0001006209
-
Local computations with probabilities on graphical structures and their application to expert systems
-
Lauritzen, S., & Spiegelhalter, D. (1988). Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society B, 50, 157-224.
-
(1988)
Journal of the Royal Statistical Society B
, vol.50
, pp. 157-224
-
-
Lauritzen, S.1
Spiegelhalter, D.2
-
19
-
-
44049116681
-
Connectionist learning of belief networks
-
Neal, R. (1992) Connectionist learning of belief networks. Artificial Intelligence, 56, 71-113.
-
(1992)
Artificial Intelligence
, vol.56
, pp. 71-113
-
-
Neal, R.1
-
23
-
-
0001406440
-
A mean field theory learning algorithm for neural networks
-
Peterson, C., & Anderson, J.R. (1987) A mean field theory learning algorithm for neural networks. Complex Systems, 1, 995-1019.
-
(1987)
Complex Systems
, vol.1
, pp. 995-1019
-
-
Peterson, C.1
Anderson, J.R.2
-
24
-
-
0004161838
-
-
Cambrige: Cambridge University Press
-
Press, W. H., Flannery, B. P., Teukolsky, S.A., & Vetterling, W. T. (1986) Numerical Recipes. Cambrige: Cambridge University Press.
-
(1986)
Numerical Recipes
-
-
Press, W.H.1
Flannery, B.P.2
Teukolsky, S.A.3
Vetterling, W.T.4
-
25
-
-
85168119898
-
Local learning in probabilistic networks with hidden variables
-
Russell, S., Binder, J., Koller, D., & Kanazawa, K. (1995). Local learning in probabilistic networks with hidden variables. In Proceedings of IJCAI-95.
-
(1995)
Proceedings of IJCAI-95
-
-
Russell, S.1
Binder, J.2
Koller, D.3
Kanazawa, K.4
-
27
-
-
0039086690
-
Annealed theories of learning
-
J.-H. Oh, C. Kwon, and S. Cho, eds. Singapore, World Scientific
-
Seung, H. (1995). Annealed theories of learning. In J.-H. Oh, C. Kwon, and S. Cho, eds. Neural Networks: The Statistical Mechanics Perspective, Proceedings of the CTP-PRSRI Joint Workshop on Theoretical Physics. Singapore, World Scientific.
-
(1995)
Neural Networks: The Statistical Mechanics Perspective, Proceedings of the CTP-PRSRI Joint Workshop on Theoretical Physics
-
-
Seung, H.1
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