-
1
-
-
83555179019
-
-
arXiv: 1106.3708
-
Arnold, L., Auger, A., Hansen, N., Ollivier, Y.: Information-geometric optimization algorithms: A unifying picture via invariance principles, arXiv:1106.3708 (2011)
-
(2011)
Information-geometric optimization algorithms: A unifying picture via invariance principles
-
-
Arnold, L.1
Auger, A.2
Hansen, N.3
Ollivier, Y.4
-
2
-
-
50949127418
-
On relevant dimensions in kernel feature spaces
-
Braun, M.L., Buhmann, J., Muller, K.-R.: On relevant dimensions in kernel feature spaces. Journal of Machine Learning Research 9, 1875-1908 (2008)
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1875-1908
-
-
Braun, M.L.1
Buhmann, J.2
Muller, K.-R.3
-
3
-
-
80053444761
-
Enhanced gradient and adaptive learning rate for training restricted Boltzmann machines
-
Cho, K., Raiko, T., Ilin, A.: Enhanced gradient and adaptive learning rate for training restricted Boltzmann machines. In: Proceedings of the 28th International Conference on Machine Learning, pp. 105-112 (2011)
-
(2011)
Proceedings of the 28th International Conference on Machine Learning
, pp. 105-112
-
-
Cho, K.1
Raiko, T.2
Ilin, A.3
-
4
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
Hinton, G.E.: Training products of experts by minimizing contrastive divergence. Neural Computation 14(8), 1771-1800 (2002)
-
(2002)
Neural Computation
, vol.14
, Issue.8
, pp. 1771-1800
-
-
Hinton, G.E.1
-
5
-
-
84872506495
-
-
Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS Springer, Heidelberg
-
Hinton, G.E.: A Practical Guide to Training Restricted Boltzmann Machines. In: Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 599-619. Springer, Heidelberg (2012)
-
(2012)
A Practical Guide to Training Restricted Boltzmann Machines
, vol.7700
, pp. 599-619
-
-
Hinton, G.E.1
-
7
-
-
0001857994
-
-
Orr, G.B., Muller, K.-R. (eds.) NIPS-WS 1996. LNCS Springer, Heidelberg
-
LeCun, Y., Bottou, L., Orr, G.B., Muller, K.-R.: Efficient BackProp. In: Orr, G.B., Muller, K.-R. (eds.) NIPS-WS 1996. LNCS, vol. 1524, pp. 9-50. Springer, Heidelberg (1998)
-
(1998)
Efficient BackProp
, vol.1524
-
-
LeCun, Y.1
Bottou, L.2
Orr, G.B.3
Muller, K.-R.4
-
8
-
-
80555140085
-
Kernel analysis of deep networks
-
Montavon, G., Braun, M.L., Muller, K.-R.: Kernel analysis of deep networks. Journal of Machine Learning Research 12, 2563-2581 (2011)
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2563-2581
-
-
Montavon, G.1
Braun, M.L.2
Muller, K.-R.3
-
9
-
-
84872523237
-
Deep Boltzmann machines as feedforward hierarchies
-
Montavon, G., Braun, M.L., Muller, K.-R.: Deep Boltzmann machines as feedforward hierarchies. Journal of Machine Learning Research - Proceedings Track 22, 789-804 (2012)
-
(2012)
Journal of Machine Learning Research - Proceedings Track
, vol.22
, pp. 789-804
-
-
Montavon, G.1
Braun, M.L.2
Muller, K.-R.3
-
10
-
-
0000273048
-
Annealed importance sampling
-
DOI 10.1023/A:1008923215028
-
Neal, R.M.: Annealed importance sampling. Statistics and Computing 11(2), 125-139 (2001) (Pubitemid 33638185)
-
(2001)
Statistics and Computing
, vol.11
, Issue.2
, pp. 125-139
-
-
Neal, R.M.1
-
11
-
-
0000255539
-
Fast exact multiplication by the Hessian
-
Pearlmutter, B.A.: Fast exact multiplication by the Hessian. Neural Computation 6(1), 147-160 (1994)
-
(1994)
Neural Computation
, vol.6
, Issue.1
, pp. 147-160
-
-
Pearlmutter, B.A.1
-
13
-
-
72249106174
-
Learning and evaluating boltzmann machines
-
2008-2012, Dept. of Computer Science, University of Toronto
-
Salakhutdinov, R.: Learning and Evaluating Boltzmann Machines. Technical Report UTML TR 2008-002, Dept. of Computer Science, University of Toronto (2008)
-
(2008)
Technical Report UTML TR
-
-
Salakhutdinov, R.1
-
15
-
-
0347243182
-
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
-
Scholkopf, B., Smola, A., Muller, K.-R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10(5), 1299-1319 (1998) (Pubitemid 128463674)
-
(1998)
Neural Computation
, vol.10
, Issue.5
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.2
Muller, K.-R.3
-
16
-
-
0032594954
-
Input space versus feature space in kernel-based methods
-
Scholkopf, B., Mika, S., Burges, C.J.C., Knirsch, P., Muller, K.-R., Ratsch, G., Smola, A.J.: Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 10(5), 1000-1017 (1999)
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.5
, pp. 1000-1017
-
-
Scholkopf, B.1
Mika, S.2
Burges, C.J.C.3
Knirsch, P.4
Muller, K.-R.5
Ratsch, G.6
Smola, A.J.7
-
17
-
-
0038231917
-
-
Orr, G.B., Muller, K.-R. (eds.) NIPS-WS 1996. LNCS Springer, Heidelberg
-
Schraudolph, N.N.: Centering Neural Network Gradient Factors. In: Orr, G.B., Muller, K.-R. (eds.) NIPS-WS 1996. LNCS, vol. 1524, pp. 207-226. Springer, Heidelberg (1998)
-
(1998)
Centering Neural Network Gradient Factors
, vol.1524
, pp. 207-226
-
-
Schraudolph, N.N.1
|