-
2
-
-
77956708689
-
Semi-supervised learning by disagreement
-
Zhou Z H, Li M. Semi-supervised learning by disagreement. Knowledge and Information Systems, 2010, 24(3): 415-439.
-
(2010)
Knowledge and Information Systems
, vol.24
, Issue.3
, pp. 415-439
-
-
Zhou, Z.H.1
Li, M.2
-
3
-
-
33745456231
-
-
Technical Report 1530, Madison: University of Wisconsin at Madison, Department of Computer Sciences
-
Zhu X. Semi-supervised learning literature survey. Technical Report 1530. Madison: University of Wisconsin at Madison, Department of Computer Sciences, 2006. http://www. cs. wisc. edu/~jerryzhu/pub/ssl_survey. pdf.
-
(2006)
Semi-Supervised Learning Literature Survey
-
-
Zhu, X.1
-
4
-
-
70350346030
-
Ensemble Learning
-
S. Z. Li (Ed.), Berlin: Springer
-
Zhou Z H. Ensemble Learning. In: Li SZ, ed. Encyclopedia of Biometrics. Berlin: Springer, 2009, 270-273.
-
(2009)
Encyclopedia of Biometrics
, pp. 270-273
-
-
Zhou, Z.H.1
-
6
-
-
84899006611
-
Semi-Supervised MarginBoost
-
In: Dietterich T G, Becker S, Ghahramani Z, eds
-
d'Alché-Buc F, Grandvalet Y, Ambroise C. Semi-Supervised MarginBoost. In: Dietterich T G, Becker S, Ghahramani Z, eds. Advances in Neural Information Processing Systems 14. 2002, 553-560.
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
, pp. 553-560
-
-
d'Alché-Buc, F.1
Grandvalet, Y.2
Ambroise, C.3
-
7
-
-
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 Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, 2007, 37(6): 1088-1098.
-
(2007)
IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans
, vol.37
, Issue.6
, pp. 1088-1098
-
-
Li, M.1
Zhou, Z.H.2
-
8
-
-
70349871686
-
SemiBoost: Boosting for semi-supervised learning
-
Mallapragada P K, Jin R, Jain A K, Liu Y. SemiBoost: boosting for semi-supervised learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(11): 2000-2014.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.11
, pp. 2000-2014
-
-
Mallapragada, P.K.1
Jin, R.2
Jain, A.K.3
Liu, Y.4
-
10
-
-
28244448186
-
Tri-training: Exploiting unlabeled data using three classifiers
-
Zhou Z H, Li M. Tri-training: Exploiting unlabeled data using three classifiers. IEEE Transactions on Knowledge and Data Engineering, 2005, 17(11): 1529-1541.
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.11
, pp. 1529-1541
-
-
Zhou, Z.H.1
Li, M.2
-
12
-
-
85054435084
-
Neural network ensembles, cross validation, and active learning
-
G. Tesauro, D. S. Touretzky, and T. K. Leen (Eds.), Cambridge: MIT Press
-
Krogh A, Vedelsby J. Neural network ensembles, cross validation, and active learning. In: Tesauro G, Touretzky D S, Leen T K, eds. Advances in Neural Information Processing Systems 7. Cambridge: MIT Press, 1995, 231-238.
-
(1995)
Advances in Neural Information Processing Systems 7
, pp. 231-238
-
-
Krogh, A.1
Vedelsby, J.2
-
15
-
-
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
-
16
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund Y, Schapire R E. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 1997, 55(1): 119-139.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
18
-
-
0035478854
-
Random forests
-
Breiman L. Random forests. Machine Learning, 2001, 45(1): 5-32.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
21
-
-
68949137209
-
-
Wisconsin: University of Wisconsin at Madison, Department of Computer Sciences
-
Settles B. Active learning literature survey. Technical Report 1648. Wisconsin: University of Wisconsin at Madison, Department of Computer Sciences, 2009. http://pages. cs. wisc. edu/bsettles/pub/settles. activelearning. pdf.
-
(2009)
Active Learning Literature Survey. Technical Report 1648
-
-
Settles, B.1
-
22
-
-
84898980291
-
A mixture of experts classifier with learning based on both labelled and unlabelled data
-
M. Mozer, M. I. Jordan, and T. Petsche (Eds.), Cambridge: MIT Press
-
Miller D J, Uyar H S. A mixture of experts classifier with learning based on both labelled and unlabelled data. In: Mozer M, Jordan M I, Petsche T, eds. Advances in Neural Information Processing Systems 9. Cambridge: MIT Press, 1997, 571-577.
-
(1997)
Advances in Neural Information Processing Systems 9
, pp. 571-577
-
-
Miller, D.J.1
Uyar, H.S.2
-
23
-
-
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
-
24
-
-
0028499630
-
The effect of unlabeled samples in reducing the small sample size problem and mitigating the hughes phenomenon
-
Shahshahani B, Landgrebe D. The effect of unlabeled samples in reducing the small sample size problem and mitigating the hughes phenomenon. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(5): 1087-1095.
-
(1994)
IEEE Transactions on Geoscience and Remote Sensing
, vol.32
, Issue.5
, pp. 1087-1095
-
-
Shahshahani, B.1
Landgrebe, D.2
-
25
-
-
0006005149
-
Bayesian Ying Yang System and Theory as a Unified Statistical Learning Approach: (I) Unsupervised and Semi- Unsupervised Learning
-
S. Amari and N. Kassabov (Eds.), Berlin: Springer-Verlag
-
Xu L. Bayesian Ying Yang System and Theory as a Unified Statistical Learning Approach: (I) Unsupervised and Semi- Unsupervised Learning. In: Amari S, Kassabov N, eds. Brain-like Computing and Intelligent Information Systems. Berlin: Springer-Verlag, 1997, 241-274.
-
(1997)
Brain-like Computing and Intelligent Information Systems
, pp. 241-274
-
-
Xu, L.1
-
27
-
-
84898928156
-
Semi-supervised Learning by Entropy Minimization
-
L. K. Saul, Y. Weiss, and L. Bottou (Eds.), Cambridge: MIT Press
-
Grandvalet Y, Bengio Y. Semi-supervised Learning by Entropy Minimization. In: Saul L K, Weiss Y, Bottou L, eds. Advances in Neural Information Processing Systems 17. Cambridge: MIT Press, 2005, 529-536.
-
(2005)
Advances in Neural Information Processing Systems 17
, pp. 529-536
-
-
Grandvalet, Y.1
Bengio, Y.2
-
29
-
-
78049527893
-
Semi-supervised learning via Gaussian processes
-
L. K. Saul, Y. Weiss, and L. Bottou (Eds.), Cambridge: MIT Press
-
Lawrence N D, Jordan M I. Semi-supervised learning via Gaussian processes. In: Saul L K, Weiss Y, Bottou L, eds. Advances in Neural Information Processing Systems 17. Cambridge: MIT Press, 2005, 753-760.
-
(2005)
Advances in Neural Information Processing Systems 17
, pp. 753-760
-
-
Lawrence, N.D.1
Jordan, M.I.2
-
30
-
-
3142725535
-
Semi-supervised learning on Riemannian manifolds
-
Belkin M, Niyogi P. Semi-supervised learning on Riemannian manifolds. Machine Learning, 2004, 56(1-3): 209-239.
-
(2004)
Machine Learning
, vol.56
, Issue.1-3
, pp. 209-239
-
-
Belkin, M.1
Niyogi, P.2
-
32
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
Belkin M, Niyogi P, Sindhwani V. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 2006, 7: 2399-2434.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
33
-
-
84899006908
-
Learning with local and global consistency
-
Zhou D, Bousquet O, Lal T N, J. Weston, Schölkopf B. Learning with local and global consistency. In: Thrun S, Saul L, Schölkopf B, eds. Advances in Neural Information Processing Systems 16. 2004, 321-328.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
36
-
-
84899008485
-
PAC Generalization Bunds for Co-training
-
T. G. Dietterich, S. Becker, and Z. Ghahramani (Eds.), Cambridge: MIT Press
-
Dasgupta S, Littman M, McAllester D. PAC Generalization Bunds for Co-training. In: Dietterich T G, Becker S, Ghahramani Z, eds. Advances in Neural Information Processing Systems 14. Cambridge: MIT Press, 2002, 375-382.
-
(2002)
Advances in Neural Information Processing Systems 14
, pp. 375-382
-
-
Dasgupta, S.1
Littman, M.2
McAllester, D.3
-
37
-
-
84898930761
-
Co-Training and Expansion: Towards Bridging Theory and Practice
-
L. K. Saul, Y. Weiss, and L. Bottou (Eds.), Cambridge: MIT Press
-
Balcan M F, Blum A, Yang K. Co-Training and Expansion: Towards Bridging Theory and Practice. In: Saul L K, Weiss Y, Bottou L, eds. Advances in Neural Information Processing Systems 17. Cambridge: MIT Press, 2005, 89-96.
-
(2005)
Advances in Neural Information Processing Systems 17
, pp. 89-96
-
-
Balcan, M.F.1
Blum, A.2
Yang, K.3
-
48
-
-
85118305024
-
Bootstrapping statistical parsers from small data sets
-
Steedman M, Osborne M, Sarkar A, Clark S, Hwa R, Hockenmaier J, Ruhlen P, Baker S, Crim J. Bootstrapping statistical parsers from small data sets. In: Proceedings of the 11th Conference on the European Chapter of the Association for Computational Linguistics. 2003, 331-338.
-
(2003)
Proceedings of the 11th Conference on the European Chapter of the Association for Computational Linguistics
, pp. 331-338
-
-
Steedman, M.1
Osborne, M.2
Sarkar, A.3
Clark, S.4
Hwa, R.5
Hockenmaier, J.6
Ruhlen, P.7
Baker, S.8
Crim, J.9
-
49
-
-
64549161526
-
Semi-supervised document retrieval
-
Li M, Li H, Zhou Z H. Semi-supervised document retrieval. Information Processing and Management, 2009, 45(3): 341-355.
-
(2009)
Information Processing and Management
, vol.45
, Issue.3
, pp. 341-355
-
-
Li, M.1
Li, H.2
Zhou, Z.H.3
-
50
-
-
70349346025
-
Using tri-training and support vector machines for addressing the ECML-PKDD 2006 Discovery Challenge
-
Mavroeidis D, Chaidos K, Pirillos S, Christopoulos D, Vazirgiannis M. Using tri-training and support vector machines for addressing the ECML-PKDD 2006 Discovery Challenge. In: Proceedings of ECMLPKDD 2006 Discovery Challenge Workshop. 2006, 39-47.
-
(2006)
Proceedings of ECMLPKDD 2006 Discovery Challenge Workshop
, pp. 39-47
-
-
Mavroeidis, D.1
Chaidos, K.2
Pirillos, S.3
Christopoulos, D.4
Vazirgiannis, M.5
-
52
-
-
33746834100
-
Enhancing relevance feedback in image retrieval using unlabeled data
-
Zhou Z H, Chen K J, Dai H B. Enhancing relevance feedback in image retrieval using unlabeled data. ACM Transactions on Information Systems, 2006, 24(2): 219-244.
-
(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
-
55
-
-
33750604335
-
Active learning with multiple views
-
Muslea I, Minton S, Knoblock C A. Active learning with multiple views. Journal of Artificial Intelligence Research, 2006, 27(1): 203-233.
-
(2006)
Journal of Artificial Intelligence Research
, vol.27
, Issue.1
, pp. 203-233
-
-
Muslea, I.1
Minton, S.2
Knoblock, C.A.3
-
57
-
-
0000107975
-
Relations between two sets of variates
-
Hotelling H. Relations between two sets of variates. Biometrika, 1936, 28(4): 321-377.
-
(1936)
Biometrika
, vol.28
, Issue.4
, pp. 321-377
-
-
Hotelling, H.1
-
58
-
-
10044285992
-
Canonical correlation analysis: An overview with application to learning methods
-
Hardoon D R, Szedmak S, Shawe-Taylor J. Canonical correlation analysis: an overview with application to learning methods. Neural Computation, 2004, 16(12): 2639-2664.
-
(2004)
Neural Computation
, vol.16
, Issue.12
, pp. 2639-2664
-
-
Hardoon, D.R.1
Szedmak, S.2
Shawe-Taylor, J.3
-
59
-
-
79952315202
-
Classifier ensemble with unlabeled data
-
Zhang M L, Zhou Z H. Classifier ensemble with unlabeled data. CORR abs10909. 3593, 2009.
-
(2009)
CORR abs10909
, pp. 3593
-
-
Zhang, M.L.1
Zhou, Z.H.2
-
61
-
-
77956465653
-
Combining classifiers and learning mixtureof-experts
-
Dopico, J R R, Dorado, J, Pazos, A
-
Xu L, Amari S. Combining classifiers and learning mixtureof-experts. In: Dopico J R R, Dorado J, Pazos A, eds. Encyclopedia of Artificial Intelligence. 2009, 318-326.
-
(2009)
Encyclopedia of Artificial Intelligence
, pp. 318-326
-
-
Xu, L.1
Amari, S.2
|