-
4
-
-
0000903748
-
Generalization of backpropagation with application to a recurrent gas market model
-
P. J. Werbos. Generalization of backpropagation with application to a recurrent gas market model. Neural Networks, 1(4):339-356, 1988.
-
(1988)
Neural Networks
, vol.1
, Issue.4
, pp. 339-356
-
-
Werbos, P.J.1
-
6
-
-
0003575034
-
-
diploma thesis, institut für informatik, lehrstuhl prof. brauer, technische universität münchen.
-
S. Hochreiter. Untersuchungen zu dynamischen neuronalen netzen. diploma thesis, institut für informatik, lehrstuhl prof. brauer, technische universität münchen. 1991.
-
(1991)
Untersuchungen Zu Dynamischen Neuronalen Netzen
-
-
Hochreiter, S.1
-
8
-
-
0001033889
-
Learning complex, extended sequences using the principle of history compression
-
J. Schmidhuber. Learning complex, extended sequences using the principle of history compression. Neural Computation, 4(2):234-242, 1992.
-
(1992)
Neural Computation
, vol.4
, Issue.2
, pp. 234-242
-
-
Schmidhuber, J.1
-
9
-
-
84926358845
-
Recursive deep models for semantic compositionality over a sentiment treebank
-
R. Socher, A. Perelygin, J. Wu, J. Chuang, C. D. Manning, A. Y. Ng, and C. Potts. Recursive deep models for semantic compositionality over a sentiment treebank. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing.
-
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
-
-
Socher, R.1
Perelygin, A.2
Wu, J.3
Chuang, J.4
Manning, C.D.5
Ng, A.Y.6
Potts, C.7
-
11
-
-
84937906812
-
-
Diploma thesis. Master's thesis, Goethe-Universität Frankfurt, Frankfurt, Germany
-
V. Michalski. Neural networks for motion understanding: Diploma thesis. Master's thesis, Goethe-Universität Frankfurt, Frankfurt, Germany, 2013.
-
(2013)
Neural Networks for Motion Understanding
-
-
Michalski, V.1
-
12
-
-
0000188120
-
Learning invariance from transformation sequences
-
P. Földiák. Learning invariance from transformation sequences. Neural Computation, 3(2):194-200, 1991.
-
(1991)
Neural Computation
, vol.3
, Issue.2
, pp. 194-200
-
-
Földiák, P.1
-
13
-
-
0036546660
-
Slow feature analysis: Unsupervised learning of invariances
-
L. Wiskott and T. Sejnowski. Slow feature analysis: Unsupervised learning of invariances. Neural computation, 14(4):715-770, 2002.
-
(2002)
Neural Computation
, vol.14
, Issue.4
, pp. 715-770
-
-
Wiskott, L.1
Sejnowski, T.2
-
15
-
-
77953520240
-
Learning to represent spatial transformations with factored higher-order boltzmann machines
-
R. Memisevic and G. E. Hinton. Learning to represent spatial transformations with factored higher-order boltzmann machines. Neural Computation, 22(6):1473-1492, 2010.
-
(2010)
Neural Computation
, vol.22
, Issue.6
, pp. 1473-1492
-
-
Memisevic, R.1
Hinton, G.E.2
-
18
-
-
0034850577
-
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
-
July
-
D. Martin, Fowlkes C., D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In Proceedings of the Eigth IEEE International Conference on Computer Vision, Volume 2, pages 416-423, July 2001.
-
(2001)
Proceedings of the Eigth IEEE International Conference on Computer Vision
, vol.2
, pp. 416-423
-
-
Martin, D.1
Fowlkes, C.2
Tal, D.3
Malik, J.4
-
22
-
-
69349090197
-
Learning deep architectures for AI
-
2009. Also published as a book. Now Publishers
-
Y. Bengio. Learning deep architectures for AI. Foundations and Trends in Machine Learning, 2(1):1-127, 2009. Also published as a book. Now Publishers, 2009.
-
(2009)
Foundations and Trends in Machine Learning
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
|