-
2
-
-
84860620038
-
Radial basis functions: A Bayesian treatment
-
D. Barber and B. Schottky. Radial basis functions: A bayesian treatment. In NIPS, 1997.
-
(1997)
NIPS
-
-
Barber, D.1
Schottky, B.2
-
3
-
-
85162069624
-
Phone recognition with the meancovariance restricted boltzmann machine
-
J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, editors
-
G. E. Dahl, M. Ranzato, A. rahman Mohamed, and G. Hinton. Phone recognition with the meancovariance restricted boltzmann machine. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, editors, Advances in Neural Information Processing Systems 23, pages 469-477. 2010.
-
(2010)
Advances in Neural Information Processing Systems
, vol.23
, pp. 469-477
-
-
Dahl, G.E.1
Ranzato, M.2
Mohamed, A.R.3
Hinton, G.4
-
7
-
-
0028495332
-
Pruning recurrent neural networks for improved generalization performance
-
C. L. Giles and C.W. Omlin. Pruning recurrent neural networks for improved generalization performance. IEEE Transactions on Neural Networks, 5:848-851, 1994.
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, pp. 848-851
-
-
Giles, C.L.1
Omlin, C.W.2
-
8
-
-
33749259827
-
Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
-
Pittsburgh, USA
-
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber. Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks. In Proceedings of the International Conference on Machine Learning, ICML 2006, Pittsburgh, USA, 2006.
-
(2006)
Proceedings of the International Conference on Machine Learning, ICML 2006
-
-
Graves, A.1
Fernández, S.2
Gomez, F.3
Schmidhuber, J.4
-
9
-
-
71249112130
-
Offline handwriting recognition with multidimensional recurrent neural networks
-
A. Graves and J. Schmidhuber. Offline handwriting recognition with multidimensional recurrent neural networks. In NIPS, pages 545-552, 2008.
-
(2008)
NIPS
, pp. 545-552
-
-
Graves, A.1
Schmidhuber, J.2
-
10
-
-
0027803368
-
Keeping the neural networks simple by minimizing the description length of the weights
-
G. E. Hinton and D. van Camp. Keeping the neural networks simple by minimizing the description length of the weights. In COLT, pages 5-13, 1993.
-
(1993)
COLT
, pp. 5-13
-
-
Hinton, G.E.1
Van Camp, D.2
-
12
-
-
3843073152
-
Variational learning and bits-back coding: An information-theoretic view to Bayesian learning
-
A. Honkela and H. Valpola. Variational learning and bits-back coding: An information-theoretic view to bayesian learning. IEEE Transactions on Neural Networks, 15:800-810, 2004.
-
(2004)
IEEE Transactions on Neural Networks
, vol.15
, pp. 800-810
-
-
Honkela, A.1
Valpola, H.2
-
13
-
-
0342990011
-
An analysis of noise in recurrent neural networks: Convergence and generalization
-
nov
-
K.-C. Jim, C. Giles, and B. Horne. An analysis of noise in recurrent neural networks: convergence and generalization. Neural Networks, IEEE Transactions on, 7(6):1424-1438, nov 1996.
-
(1996)
Neural Networks, IEEE Transactions on
, vol.7
, Issue.6
, pp. 1424-1438
-
-
Jim, K.-C.1
Giles, C.2
Horne, B.3
-
15
-
-
0000494466
-
Optimal brain damage
-
D. S. Touretzky, editor, Morgan Kaufmann, San Mateo, CA
-
Y. Le Cun, J. Denker, and S. Solla. Optimal brain damage. In D. S. Touretzky, editor, Advances in Neural Information Processing Systems, volume 2, pages 598-605. Morgan Kaufmann, San Mateo, CA, 1990.
-
(1990)
Advances in Neural Information Processing Systems
, vol.2
, pp. 598-605
-
-
Le Cun, Y.1
Denker, J.2
Solla, S.3
-
16
-
-
0001441372
-
Probable networks and plausible predictions - A review of practical Bayesian methods for supervised neural networks
-
D. J. C. MacKay. Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks. Neural Computation, 1995.
-
(1995)
Neural Computation
-
-
MacKay, D.J.C.1
-
17
-
-
0001765492
-
Simplifying neural networks by soft weight sharing
-
S. J. Nowlan and G. E. Hinton. Simplifying neural networks by soft weight sharing. Neural Computation, 4:173-193, 1992.
-
(1992)
Neural Computation
, vol.4
, pp. 173-193
-
-
Nowlan, S.J.1
Hinton, G.E.2
-
18
-
-
63249135864
-
The variational Gaussian approximation revisited
-
M. Opper and C. Archambeau. The variational gaussian approximation revisited. Neural Computation, 21(3):786-792, 2009.
-
(2009)
Neural Computation
, vol.21
, Issue.3
, pp. 786-792
-
-
Opper, M.1
Archambeau, C.2
-
19
-
-
0003794792
-
Experiments on learning by back propagation
-
Carnegie Mellon University, Pittsburgh, PA
-
D. Plaut, S. Nowlan, and G. E. Hinton. Experiments on learning by back propagation. Technical Report CMU-CS-86-126, Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 1986.
-
(1986)
Technical Report CMU-CS-86-126, Department of Computer Science
-
-
Plaut, D.1
Nowlan, S.2
Hinton, G.E.3
-
21
-
-
0018015137
-
Modeling by shortest data description
-
J. Rissanen. Modeling by shortest data description. Automatica, 14(5):465-471, 1978.
-
(1978)
Automatica
, vol.14
, Issue.5
, pp. 465-471
-
-
Rissanen, J.1
-
22
-
-
84866054643
-
-
MIT Press, Cambridge, MA, USA
-
D. E. Rumelhart, G. E. Hinton, and R. J.Williams. Learning representations by back-propagating errors, pages 696-699. MIT Press, Cambridge, MA, USA, 1988.
-
(1988)
Learning Representations by Back-propagating Errors
, pp. 696-699
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
24
-
-
0000329993
-
-
MIT Press, Cambridge, MA, USA
-
P. Smolensky. Information processing in dynamical systems: foundations of harmony theory, pages 194-281. MIT Press, Cambridge, MA, USA, 1986.
-
(1986)
Information Processing in Dynamical Systems: Foundations of Harmony Theory
, pp. 194-281
-
-
Smolensky, P.1
-
25
-
-
0007682105
-
Classification by minimum-message-length inference
-
New York, NY, USA, Springer-Verlag New York, Inc.
-
C. S. Wallace. Classification by minimum-message-length inference. In Proceedings of the international conference on Advances in computing and information, ICCI'90, pages 72-81, New York, NY, USA, 1990. Springer-Verlag New York, Inc.
-
(1990)
Proceedings of the International Conference on Advances in Computing and Information, ICCI'90
, pp. 72-81
-
-
Wallace, C.S.1
-
26
-
-
0023364261
-
Arithmetic coding for data compression
-
June
-
I. H. Witten, R. M. Neal, and J. G. Cleary. Arithmetic coding for data compression. Commun. ACM, 30:520-540, June 1987.
-
(1987)
Commun. ACM
, vol.30
, pp. 520-540
-
-
Witten, I.H.1
Neal, R.M.2
Cleary, J.G.3
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