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1
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0016355478
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A new look at the statistical model identification
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[Akaike 73]
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[Akaike 73] Akaike, H.: A new look at the statistical model identification, IEEE Trans. Autom. Contor., Vol. AC-19, pp.716-723 (1973).
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(1973)
IEEE Trans. Autom. Contor.
, vol.AC-19
, pp. 716-723
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-
Akaike, H.1
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2
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0003278032
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Learning parameters and structure of latent variable models by variational Bayes
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[Attias 99]
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[Attias 99] Attias, H.: Learning parameters and structure of latent variable models by variational Bayes, In proc. Uncertainty in Artificial Intelligence, (1999).
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(1999)
Proc. Uncertainty in Artificial Intelligence
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Attias, H.1
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3
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0002389877
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The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
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[Bartlett 96], Australian National University
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[Bartlett 96] Bartlett, P.: The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network, Technical report, Australian National University (1996).
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(1996)
Technical Report
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Bartlett, P.1
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4
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-
0002629270
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Maximum likelihood from incomplete data via the EM algorithm
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[Dempster 77]
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[Dempster 77] Dempster, A.P., Laird, N.M., and Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm, Journal of Royal Statistical Society B, Vol. 9, pp. 1-38 (1977).
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(1977)
Journal of Royal Statistical Society B
, vol.9
, pp. 1-38
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Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
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6
-
-
0001940458
-
Adaptive mixtures of local experts
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[Jacobs 91]
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[Jacobs 91] Jacobs, R.J., Jordan, M.I. Nowlan, S.J., and Hinton, G.E.: Adaptive mixtures of local experts, Neural Computation, Vol. 3, pp. 79-87 (1991).
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(1991)
Neural Computation
, vol.3
, pp. 79-87
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Jacobs, R.J.1
Jordan, M.I.2
Nowlan, S.J.3
Hinton, G.E.4
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7
-
-
0033225865
-
An introduction to variational methods for graphical models
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[Jordan 97]
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[Jordan 97] Jordan, M.I., Ghahramani, Z., Jaakkola, T.S., and Saul, L.K.: An introduction to variational methods for graphical models, Machine Learning, Vol. 37, No. 2 (1997).
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(1997)
Machine Learning
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, Issue.2
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Jordan, M.I.1
Ghahramani, Z.2
Jaakkola, T.S.3
Saul, L.K.4
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8
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-
18244378520
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On Bayesian analysis of mixtures with an unknown number of components
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[Richardson 97]
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[Richardson 97] Richardson, S. and Green, P.: On Bayesian analysis of mixtures with an unknown number of components, Journal of the Royal Statistical Society B, Vol. 59, pp. 731-792 (1997).
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Journal of the Royal Statistical Society B
, vol.59
, pp. 731-792
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Richardson, S.1
Green, P.2
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9
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0001025418
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Bayesian interpolation
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[MacKay 92]
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[MacKay 92] MacKay, D.: Bayesian interpolation, Neural Computation, Vol. 4, pp. 405-447 (1992).
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(1992)
Neural Computation
, vol.4
, pp. 405-447
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MacKay, D.1
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10
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0004214436
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[Rasmussen 96]
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[Rasmussen 96] Rasmussen, C.E., Neal, R.M., Hinton, G.E., van Camp, D., Revow, M., Ghahramani, Z., Kustra, R. and Tibshirani, R.: The DELVE Manual, http://www.cs.utoronto.ca/~delve/ (1996).
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(1996)
The DELVE Manual
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Rasmussen, C.E.1
Neal, R.M.2
Hinton, G.E.3
Van Camp, D.4
Revow, M.5
Ghahramani, Z.6
Kustra, R.7
Tibshirani, R.8
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11
-
-
18544376478
-
-
Japanese only
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Japanese only
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-
-
-
13
-
-
0029679189
-
Mean field theory for sigmiod belief networks
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[Saul 96]
-
[Saul 96] Saul, L.K., Jaakkola, T., and Jordan, M.I.: Mean field theory for sigmiod belief networks, Journal of Artificial Intelligence Research, Vol. 4, pp. 61-76 (1996).
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(1996)
Journal of Artificial Intelligence Research
, vol.4
, pp. 61-76
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Saul, L.K.1
Jaakkola, T.2
Jordan, M.I.3
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14
-
-
84899022251
-
SMEM algorithm for mixture models
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[Ueda 99a]
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[Ueda 99a] Ueda, N. and Nakano, R., Ghahramani, Z., and Hinton, G.E.: SMEM algorithm for mixture models, Advances in Neural Information Processing Systems 11 (1999).
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(1999)
Advances in Neural Information Processing Systems
, vol.11
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Ueda, N.1
Nakano, R.2
Ghahramani, Z.3
Hinton, G.E.4
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15
-
-
18544386477
-
-
Japanese only
-
Japanese only
-
-
-
-
16
-
-
0034264299
-
SMEM algorithm for mixture models
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[Ueda 00]
-
[Ueda 00] Ueda, N. and Nakano, R., Ghahramani, Z., and Hinton, G.E.: SMEM algorithm for mixture models, Neural Computation, Vol. 12, No. 9, pp. 2109-2128 (2000).
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(2000)
Neural Computation
, vol.12
, Issue.9
, pp. 2109-2128
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Ueda, N.1
Nakano, R.2
Ghahramani, Z.3
Hinton, G.E.4
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17
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-
85156191859
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Bayesian methods for mixture of experts
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[Waterhouse 95]
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[Waterhouse 95] Waterhouse, S.R., MacKay, D. and Robinson, A.J.: Bayesian methods for mixture of experts, Advances in Neural Information Processing Systems 8, (1995).
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(1995)
Advances in Neural Information Processing Systems
, vol.8
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Waterhouse, S.R.1
MacKay, D.2
Robinson, A.J.3
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18
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-
85140116568
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An alternative model for mixtures of experts
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[Xu 94]
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[Xu 94] Xu, L., Jordan, M.I., and Hinton, G.E.: An alternative model for mixtures of experts, Advances in Neural Information Processing Systems 7, pp. 633-640 (1994).
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(1994)
Advances in Neural Information Processing Systems
, vol.7
, pp. 633-640
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Xu, L.1
Jordan, M.I.2
Hinton, G.E.3
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