-
1
-
-
22944433860
-
Exploiting unlabeled data in content-based image retrieval
-
Pisa, Italy, Sept. 20-24
-
Zhou Z H, Chen K J, Jiang Y. Exploiting unlabeled data in content-based image retrieval. In Proc. the 15th European Conf. Machine Learning (ECML 2004), Pisa, Italy, Sept. 20-24, 2004, pp.525-536.
-
(2004)
Proc. The 15th European Conf. Machine Learning (ECML 2004)
, pp. 525-536
-
-
Zhou, Z.H.1
Chen, K.J.2
Jiang, Y.3
-
2
-
-
36249007597
-
Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples
-
Li M, Zhou Z H. Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples. IEEE Trans. Systems, Man and Cybernetics-Part A: Systems and Humans, 2007, 37(6): 1088-1098.
-
(2007)
IEEE Trans. Systems Man and Cybernetics-Part A: Systems and Humans
, vol.37
, Issue.6
, pp. 1088-1098
-
-
Li, M.1
Zhou, Z.H.2
-
3
-
-
0344982834
-
Unsupervised improvement of visual detectors using Co-Training
-
April 1-3
-
Levin A, Viola P, Freund Y. Unsupervised improvement of visual detectors using Co-Training. In Proc. the Int. Conf. Computer Vision, Graz, Austria, April 1-3, 2003, pp.626-633.
-
(2003)
Proc. The Int. Conf. Computer Vision, Graz, Austria
, pp. 626-633
-
-
Levin, A.1
Viola, P.2
Freund, Y.3
-
4
-
-
0033886806
-
Text classification from labeled and unlabeled documents using em
-
Nigam K, McCallum A K, Thrun S, Mitchell T. Text classification from labeled and unlabeled documents using EM. Machine Learning, 2000, 39(2/3): 103-134.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.K.2
Thrun, S.3
Mitchell, T.4
-
5
-
-
22944457138
-
Email classification with CoTraining
-
Toronto, Canada, Nov. 5-7, 2001
-
Kiritchenko S, Matwin S. Email classification with CoTraining. In Proc. the 2001 Conf. the Centre for Advanced Studies on Collaborative Research (CASCON2001), Toronto, Canada, Nov. 5-7, 2001, pp.8-19.
-
Proc. The 2001 Conf. The Centre for Advanced Studies on Collaborative Research (CASCON2001)
, pp. 8-19
-
-
Kiritchenko, S.1
Matwin, S.2
-
6
-
-
85136905861
-
Analyzing the effectiveness and applicability of Co-Training
-
McLean, USA Nov. 6-11
-
Nigam K, Ghani R. Analyzing the effectiveness and applicability of Co-Training. In Proc. the 9th Int. Conf. Information and Knowledge Management, McLean, USA, Nov. 6-11, 2000, pp.86-93.
-
(2000)
Proc. The 9th Int. Conf. Information and Knowledge Management
, pp. 86-93
-
-
Nigam, K.1
Ghani, R.2
-
7
-
-
85013879626
-
A sequential algorithm for training text classifiers
-
July 3-6
-
Lewis D D, Gale A W. A sequential algorithm for training text classifiers. In Proc. the Special Interest Group on Info. Retrieval, Dublin, Irland, July 3-6, 1994, pp.3-12.
-
(1994)
Proc. The Special Interest Group on Info. Retrieval, Dublin, Irland
, pp. 3-12
-
-
Lewis, D.D.1
Gale, A.W.2
-
8
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
Dempster A P, Laird N M, Rubin D B. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B (Methodological), 1977, 39(1): 1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B (Methodological)
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
9
-
-
0031620208
-
Combining labeled and unlabeled data with Co-Training
-
Madison, USA July 24-26
-
Blum A, Mitchell T. Combining labeled and unlabeled data with Co-Training. In Proc. the 11th Annual Conf. Computational Learning Theory (COLT1998), Madison, USA, July 24-26, 1998, pp.92-100.
-
(1998)
Proc. The 11th Annual Conf. Computational Learning Theory (COLT1998)
, pp. 92-100
-
-
Blum, A.1
Mitchell, T.2
-
10
-
-
84891750688
-
Selective sampling with redundant views
-
Austin, USA, Jul. 30-Aug. 3
-
Muslea I, Minton S, Knoblock C A. Selective sampling with redundant views. In Proc. the 17th National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence, Austin, USA, Jul. 30-Aug. 3, 2000, pp.621-626.
-
(2000)
Proc. The 17th National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
, pp. 621-626
-
-
Muslea, I.1
Minton, S.2
Knoblock, C.A.3
-
11
-
-
0007950880
-
Enhancing supervised learning with unlabeled data
-
June 29-July 2
-
Goldman S, Zhou Y. Enhancing supervised learning with unlabeled data. In Proc. the 17th Int. Conf. Machine Learning (ICML2000), Stanford, USA, June 29-July 2, 2000, pp.327-334.
-
(2000)
Proc. The 17th Int. Conf. Machine Learning (ICML2000), Stanford, USA
, pp. 327-334
-
-
Goldman, S.1
Zhou, Y.2
-
12
-
-
16244378563
-
Democratic co-learning
-
Boca Roton, USA, Nov. 15-17
-
Zhou Y, Goldman S. Democratic co-learning. In Proc. the 16th IEEE Int. Conf. Tools with Artificial Intelligence (ICTAI2004), Boca Roton, USA, Nov. 15-17, 2004, pp.594-202.
-
(2004)
Proc. The 16th IEEE Int. Conf. Tools with Artificial Intelligence (ICTAI2004)
, pp. 594-202
-
-
Zhou, Y.1
Goldman, S.2
-
13
-
-
28244448186
-
Tritraining: Exploiting unlabeled data using three classifiers
-
Zhou Z H, Li M. Tritraining: Exploiting unlabeled data using three classifiers. IEEE Trans. Knowl. and Data Eng., 2005, 17(11): 1529-1541.
-
(2005)
IEEE Trans. Knowl. and Data Eng.
, vol.17
, Issue.11
, pp. 1529-1541
-
-
Zhou, Z.H.1
Li, M.2
-
14
-
-
0031209604
-
Selective sampling using the query by committee algorithm
-
Freund Y, Seung H S, Shamir E, Tishby N. Selective sampling using the query by committee algorithm. Machine Learning, 1997, 28(2/3): 133-168.
-
(1997)
Machine Learning
, vol.28
, Issue.2-3
, pp. 133-168
-
-
Freund, Y.1
Seung, H.S.2
Shamir, E.3
Tishby, N.4
-
15
-
-
0000314722
-
Employing em and pool-based active learning for text classification
-
July 24-27
-
McCallum A K, Nigam K. Employing EM and pool-based active learning for text classification. In Proc. the 15th Int. Conf. Machine Learning (ICML1998), Madison, USA, July 24-27, 1998, pp.350-358.
-
(1998)
Proc. The 15th Int. Conf. Machine Learning (ICML1998), Madison, USA
, pp. 350-358
-
-
McCallum, A.K.1
Nigam, K.2
-
16
-
-
3242788638
-
Active + semi-supervised learning = robust multi-view learning
-
Jul. 8-12
-
Muslea I, Minton S, Knoblock C A. Active + semi-supervised learning = robust multi-view learning. In Proc. the 19th Int. Conf. Machine Learning (ICML2002), Sydney, Australia, Jul. 8-12, 2002, pp.435-442.
-
(2002)
Proc. The 19th Int. Conf. Machine Learning (ICML2002), Sydney, Australia
, pp. 435-442
-
-
Muslea, I.1
Minton, S.2
Knoblock, C.A.3
-
21
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Machine Learning, 1996, 24(2): 123-140.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
23
-
-
38049125937
-
Analyzing Co-Training style algorithms
-
Sept. 17-21
-
Wang W, Zhou Z H. Analyzing Co-Training style algorithms. In Proc. the 18th European Conference on Machine Learning (ECML2007), Warsaw, Poland, Sept. 17-21, 2007, pp.454-465.
-
(2007)
Proc. The 18th European Conference on Machine Learning (ECML2007), Warsaw, Poland
, pp. 454-465
-
-
Wang, W.1
Zhou, Z.H.2
-
24
-
-
40649114773
-
Co-Training using RBF nets and different feature splits
-
July 16-21
-
Feger F, Koprinska I. Co-Training using RBF nets and different feature splits. In Proc. the Int. Joint Conf. Neural Networks (IJCNN2006), Vancouver, Canada, July 16-21, 2006, pp.1878-1885.
-
(2006)
Proc. The Int. Joint Conf. Neural Networks (IJCNN2006), Vancouver, Canada
, pp. 1878-1885
-
-
Feger, F.1
Koprinska, I.2
-
25
-
-
10444221886
-
Diversity creation methods: A survey and categorisation
-
Brown G, Wyatt J, Harris R, Yao X. Diversity creation methods: A survey and categorisation. Information Fusion, 2005, 6(1): 5-20.
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 5-20
-
-
Brown, G.1
Wyatt, J.2
Harris, R.3
Yao, X.4
-
26
-
-
0042346121
-
Tree induction for probability-based ranking
-
Provost F J, Domingos P. Tree induction for probability-based ranking. Machine Learning, 2003, 52(30): 199-215.
-
(2003)
Machine Learning
, vol.52
, Issue.30
, pp. 199-215
-
-
Provost, F.J.1
Domingos, P.2
-
28
-
-
0032139235
-
The random subspace method for constructing decision forests
-
Ho T K. The random subspace method for constructing decision forests. IEEE Trans. Pattern Analysis and Machine Intelligence, 1998, 20(8): 832-844.
-
(1998)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.20
, Issue.8
, pp. 832-844
-
-
Ho, T.K.1
-
33
-
-
33646262435
-
-
Tech. Rep. R3-B1-P, INPG, UCL, TSA
-
Aviles-Cruz C, Gurin-Dugu A, Voz J L, Van Cappel D. Databases, Enhanced Learning for Evolutive Neural Architecture. Tech. Rep. R3-B1-P, INPG, UCL, TSA (1995) 47, http://www.dice.ucl.ac.be/neural-nets/Research/Projects/ELENA/elena. htm.
-
(1995)
Databases, Enhanced Learning for Evolutive Neural Architecture
, pp. 47
-
-
Aviles-Cruz, C.1
Gurin-Dugu, A.2
Voz, J.L.3
Van Cappel, D.4
|