-
1
-
-
84864069202
-
Branch and bound for semi-supervised support vector machines
-
B. Schölkopf, J. Platt, and T. Hofmann, editors, MIT Press, Cambridge, MA
-
O. Chapelle, V. Sindhwani, and S. S. Keerthi. Branch and bound for semi-supervised support vector machines. In B. Schölkopf, J. Platt, and T. Hofmann, editors, Advances in Neural Information Processing Systems 19, pages 217-224. MIT Press, Cambridge, MA, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 217-224
-
-
Chapelle, O.1
Sindhwani, V.2
Keerthi, S.S.3
-
2
-
-
47649124190
-
Harnessing unlabeled examples through iterative application of dynamic markov modeling
-
Berlin, Germany
-
G. V. Cormack. Harnessing unlabeled examples through iterative application of dynamic markov modeling. In Proceedings of the ECML-PKDD 2006 Discovery Challenge Workshop, pages 10-15, Berlin, Germany, 2006.
-
(2006)
Proceedings of the ECML-PKDD 2006 Discovery Challenge Workshop
, pp. 10-15
-
-
Cormack, G.V.1
-
3
-
-
0001938951
-
Transductive inference for text classification using support vector machines
-
Bled, Slovenia
-
T. Joachims. Transductive inference for text classification using support vector machines. In Proceedings of the 16th International Conference on Machine Learning, pages 200-209, Bled, Slovenia, 1999.
-
(1999)
Proceedings of the 16th International Conference on Machine Learning
, pp. 200-209
-
-
Joachims, T.1
-
4
-
-
70349346025
-
Using tri-training and support vector machines for addressing the ecml-pkdd 2006 discovery challenge
-
Berlin, Germany
-
D. Mavroeidis, K. Chaidos, S. Pirillos, and M. Vazirgiannis. Using tri-training and support vector machines for addressing the ecml-pkdd 2006 discovery challenge. In Proceedings of the ECML-PKDD 2006 Discovery Challenge Workshop, pages 39-47, Berlin, Germany, 2006.
-
(2006)
Proceedings of the ECML-PKDD 2006 Discovery Challenge Workshop
, pp. 39-47
-
-
Mavroeidis, D.1
Chaidos, K.2
Pirillos, S.3
Vazirgiannis, M.4
-
8
-
-
0033886806
-
Text classification from labeled and unlabeled documents using em
-
K. Nigam, A. K. McCallum, S. Thrun, and T. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2-3):103-134, 2000.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.K.2
Thrun, S.3
Mitchell, T.4
-
10
-
-
84904806792
-
Online active learning methods for fast label-efficient spam filtering
-
Mountain View, CA
-
D. Sculley. Online active learning methods for fast label-efficient spam filtering. In Proceedings of the 4th Conference on Email and Anti-Spam, Mountain View, CA, 2007.
-
(2007)
Proceedings of the 4th Conference on Email and Anti-Spam
-
-
Sculley, D.1
-
11
-
-
84904802438
-
Fast uncertainty sampling for labeling large e-mail corpora
-
Mountain View, CA
-
R. Segal, T. Markowitz, and W. Arnold. Fast uncertainty sampling for labeling large e-mail corpora. In Proceedings of the 3rd Conference on Email and Anti-Spam, pages 84-89, Mountain View, CA, 2006.
-
(2006)
Proceedings of the 3rd Conference on Email and Anti-Spam
, pp. 84-89
-
-
Segal, R.1
Markowitz, T.2
Arnold, W.3
-
14
-
-
84899006908
-
Learning with local and global consistency
-
S. Thrun, L. Saul, and B. Schölkopf, editors, MIT Press, Cambridge, MA
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In S. Thrun, L. Saul, and B. Schölkopf, editors, Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
15
-
-
33746834100
-
Enhancing relevance feedback in image retrieval using unlabeled data
-
Z.-H. Zhou, K.-J. Chen, and H.-B. Dai. Enhancing relevance feedback in image retrieval using unlabeled data. ACM Transactions on Information Systems, 24(2):219-244, 2006.
-
(2006)
ACM Transactions on Information Systems
, vol.24
, Issue.2
, pp. 219-244
-
-
Zhou, Z.-H.1
Chen, K.-J.2
Dai, H.-B.3
-
16
-
-
22944433860
-
Exploiting unlabeled data in content-based image retrieval
-
Pisa, Italy
-
Z.-H. Zhou, K.-J. Chen, and Y. Jiang. Exploiting unlabeled data in content-based image retrieval. In Proceedings of the 15th European Conference on Machine Learning, pages 525-536, Pisa, Italy, 2004.
-
(2004)
Proceedings of the 15th European Conference on Machine Learning
, pp. 525-536
-
-
Zhou, Z.-H.1
Chen, K.-J.2
Jiang, Y.3
-
18
-
-
33745456231
-
Semi-supervised learning literature survey
-
University of Wisconsin at Madison, Madison, WI
-
X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, Department of Computer Sciences, University of Wisconsin at Madison, Madison, WI, 2006.
-
(2006)
Technical Report 1530, Department of Computer Sciences
-
-
Zhu, X.1
-
19
-
-
1942484430
-
Semi-supervised learning using Gaussian fields and harmonic functions
-
Washington, DC
-
X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using Gaussian fields and harmonic functions. In Proceedings of the 20th International Conference on Machine Learning, pages 912-919, Washington, DC, 2003.
-
(2003)
Proceedings of the 20th International Conference on Machine Learning
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
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