-
1
-
-
0033682177
-
Discriminant-EM algorithm with application to image retrieval
-
Y. Wu, Q. Tian, and T. S. Huang, "Discriminant-EM algorithm with application to image retrieval, " IEEE Conference on Computer Vision and Pattern Recognition, pp. 222-227, 2000.
-
(2000)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 222-227
-
-
Wu, Y.1
Tian, Q.2
Huang, T.S.3
-
3
-
-
36348938695
-
Semi-supervised learning with very few labeled training examples
-
Z. H. Zhou, D. C. Zhan, and Q. Yang, "Semi-Supervised Learning with Very Few Labeled Training Examples, " AAAI Conference on Artificial Intelligence, pp. 675-680, 2007.
-
(2007)
AAAI Conference on Artificial Intelligence
, pp. 675-680
-
-
Zhou, Z.H.1
Zhan, D.C.2
Yang, Q.3
-
5
-
-
85141919230
-
Unsupervised word sense disambiguation rivaling supervised methods
-
Cambridge, Massachusetts
-
D. Yarowsky, "Unsupervised word sense disambiguation rivaling supervised methods, " The 33rd annual meeting on Association for Computational Linguistics, Cambridge, Massachusetts, pp. 189-196, 1995.
-
(1995)
33rd Annual Meeting on Association for Computational Linguistics
, pp. 189-196
-
-
Yarowsky, D.1
-
6
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
K. Nigam, A. K. McCallum, S. Thrun et al., "Text Classification from Labeled and Unlabeled Documents using EM, " Machine Learning, vol. 39, no. 2-3, pp. 103-134, 2000.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 103-134
-
-
Nigam, K.1
Mccallum, A.K.2
Thrun, S.3
-
7
-
-
33747128180
-
Large scale transductive SVMs
-
Aug
-
R. Collobert, F. Sinz, J. Weston et al., "Large scale transductive SVMs, " Journal of Machine Learning Research, vol. 7, pp. 1687-1712, Aug, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1687-1712
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
-
9
-
-
0031620208
-
Combining labeled and unlabeled data with co-training
-
Madison, Wisconsin, United States
-
A. Blum, and T. Mitchell, "Combining labeled and unlabeled data with co-training, " The eleventh annual conference on computational learning theory, Madison, Wisconsin, United States, pp. 92-100, 1998.
-
(1998)
Eleventh Annual Conference on Computational Learning Theory
, pp. 92-100
-
-
Blum, A.1
Mitchell, T.2
-
12
-
-
56449102578
-
On the quantitative analysis of deep belief networks
-
Helsinki, Finland
-
R. Salakhutdinov, and I. Murray, "On the quantitative analysis of deep belief networks, " International Conference on Machine learning, Helsinki, Finland, pp. 872-879, 2008.
-
(2008)
International Conference on Machine Learning
, pp. 872-879
-
-
Salakhutdinov, R.1
Murray, I.2
-
13
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. E. Hinton, S. Osindero, and Y.-W. Teh, "A Fast Learning Algorithm for Deep Belief Nets, " Neural Computation, vol. 18, pp. 1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
15
-
-
56449119888
-
Deep learning via semi-supervised embedding
-
Helsinki, Finland
-
J. Weston, F. Ratle, and R. Collobert, "Deep learning via semi-supervised embedding, " International Conference on Machine learning, Helsinki, Finland, pp. 1168-1175, 2008.
-
(2008)
International Conference on Machine Learning
, pp. 1168-1175
-
-
Weston, J.1
Ratle, F.2
Collobert, R.3
-
16
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
July 28
-
G. E. Hinton, and R. Salakhutdinov, "Reducing the Dimensionality of Data with Neural Networks, " Science, vol. 313, pp. 504-507, July 28, 2006.
-
(2006)
Science
, vol.313
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.2
-
18
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
Aug
-
G. E. Hinton, "Training products of experts by minimizing contrastive divergence, " Neural Computation, vol. 14, no. 8, pp. 1771-1800, Aug, 2002.
-
(2002)
Neural Computation
, vol.14
, Issue.8
, pp. 1771-1800
-
-
Hinton, G.E.1
-
19
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. Lecun, L. Bottou, Y. Bengio et al., "Gradient-based learning applied to document recognition, " Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
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