-
1
-
-
51749112463
-
-
Adankon MM, Cheriet M (2007) Learning semi-supervised svm with genetic algorithm. In: IEEE, editor, International joint conference in neural networks 2007, orlando, FL, pp 1825-1830.
-
-
-
-
2
-
-
33751033588
-
Optimizing resources in model selection for support vector machines
-
Adankon MM, Cheriet M (2007) Optimizing resources in model selection for support vector machines. Pattern Recognit 40(3): 953-963.
-
(2007)
Pattern Recognit
, vol.40
, Issue.3
, pp. 953-963
-
-
Adankon, M.M.1
Cheriet, M.2
-
4
-
-
0031122888
-
Evolutionary computation: comments on the history and current state
-
Back T, Hammel U, Schwefel HP (1997) Evolutionary computation: comments on the history and current state. IEEE Trans Evol Comput 1: 3-17.
-
(1997)
IEEE Trans Evol Comput
, vol.1
, pp. 3-17
-
-
Back, T.1
Hammel, U.2
Schwefel, H.P.3
-
5
-
-
33750729556
-
Manifold regularization: a geometric framework for learning from labeled and unlabeled examples
-
Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7: 2399-2434.
-
(2006)
J Mach Learn Res
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
6
-
-
77958451921
-
-
Bennett K, Demiriz A (1998) Semi-supervised support vector machines.
-
-
-
-
7
-
-
39049145967
-
Semi-supervised graph-based hyperspectral image classification
-
Camps-Valls G, Bandos TV, Zhou D (2007) Semi-supervised graph-based hyperspectral image classification. IEEE Trans Geosci Remote Sens 45(10): 3044-3054.
-
(2007)
IEEE Trans Geosci Remote Sens
, vol.45
, Issue.10
, pp. 3044-3054
-
-
Camps-Valls, G.1
Bandos, T.V.2
Zhou, D.3
-
8
-
-
33749252873
-
-
O. Chapelle, B. Schölkopf, and A. Zien (Eds.), Cambridge, MA: MIT Press
-
Chapelle O, Schölkopf B, Zien A (eds) (2006) Semi-supervised learning. MIT Press, Cambridge, MA.
-
(2006)
Semi-Supervised Learning
-
-
-
9
-
-
77958514342
-
-
Chapelle O, Sindhwani V, Keerthi SS (2006) Branch and bound for semi-supervised support vector machines. In: Proceedings of the NIPS 2006.
-
-
-
-
10
-
-
41549144249
-
Optimization techniques for semi-supervised support vector machines
-
Chapelle O, Sindhwani V, Keerthi SS (2008) Optimization techniques for semi-supervised support vector machines. J Mach Learn Res 9: 203-233.
-
(2008)
J Mach Learn Res
, vol.9
, pp. 203-233
-
-
Chapelle, O.1
Sindhwani, V.2
Keerthi, S.S.3
-
11
-
-
0036161011
-
Choosing multiple parameters for support vector machines
-
Chapelle O, Vapnik V, Bousquet O, Mukherjee S (2002) Choosing multiple parameters for support vector machines. Mach Learn 46(1): 131-159.
-
(2002)
Mach Learn
, vol.46
, Issue.1
, pp. 131-159
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
12
-
-
51949086172
-
-
Chapelle O, Zien A (2005) Semi-supervised classification by low density separation. In: Proceedings of the tenth international workshop on artificial intelligence and statistics.
-
-
-
-
14
-
-
77958462264
-
-
Demiriz A, Bennett K, Embrechts M (1999) Semi-supervised clustering using genetic algorithms. Technical report, R. P. I. Math Report No. 9901, Rensselaer Polytechnic Institute, Troy, New York.
-
-
-
-
15
-
-
0344235442
-
-
Fröhlich H, Schölkopf B, Chapelle O (2003) Feature selection for support vector machines using genetic algorithms. In: International journal on artificial intelligence tools, pp 142-148. IEEE Computer Society.
-
-
-
-
16
-
-
15844394276
-
-
Friedrichs F, Igel C (2005) Evolutionary tuning of multiple svm parameters. In: Trends in neurocomputing: 12th European symposium on artificial neural networks 2004, vol 64, pp 107-117.
-
-
-
-
18
-
-
84898928156
-
Semi-supervised learning by entropy minimization
-
L. K. Saul, Y. Weiss, and L. Bottou (Eds.), Cambridge, MA: MIT Press
-
Grandvalet Y, Bengio Y (2004) Semi-supervised learning by entropy minimization. In: Saul LK, Weiss Y, Bottou L (eds) Advances in neural information processing systems 17. MIT Press, Cambridge, MA, pp 529-536.
-
(2004)
Advances in Neural Information Processing Systems 17
, pp. 529-536
-
-
Grandvalet, Y.1
Bengio, Y.2
-
19
-
-
34547313657
-
Graph laplacians and their convergence on random neighborhood graphs
-
Hein M, Audibert J-Y, Von Luxburg U (2007) Graph laplacians and their convergence on random neighborhood graphs. J Mach Learn Res 8: 1325-1370.
-
(2007)
J Mach Learn Res
, vol.8
, pp. 1325-1370
-
-
Hein, M.1
Audibert, J.-Y.2
von Luxburg, U.3
-
21
-
-
0003463297
-
-
2nd edn., Cambridge, MA: MIT Press
-
Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence, 2nd edn. MIT Press, Cambridge, MA.
-
(1992)
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
-
-
Holland, J.H.1
-
22
-
-
77958494501
-
-
Joachims T (1999) Transductive inference for text classification using support vector machines. In: Bratko I, Dzeroski S (eds) Proceedings of ICML-99, 16th international conference on machine learning. Bled, SL. Morgan Kaufmann Publishers, San Francisco, US, pp 200-209.
-
-
-
-
23
-
-
56549085451
-
Evolutionary tuning of svm parameter values in multiclass problems
-
Lorena AC, de Carvalho ACPLF (2008) Evolutionary tuning of svm parameter values in multiclass problems. Neurocomputing 71(16-18): 3326-3334.
-
(2008)
Neurocomputing
, vol.71
, Issue.16-18
, pp. 3326-3334
-
-
Lorena, A.C.1
de Carvalho, A.C.P.L.F.2
-
24
-
-
77958452996
-
-
Mitchell TM (1999) The role of unlabeled data in supervised learning. In: Proceedings of the sixth international colloquium on cognitive science, San Sebastian, Spain.
-
-
-
-
25
-
-
33744781320
-
Evolutionary algorithms + domain knowledge = real-world evolutionary computation
-
Bonissone PP, Subbu R, Eklund N, Kiehl TR (2006) Evolutionary algorithms + domain knowledge = real-world evolutionary computation. IEEE Trans Evol Comput 10(3): 256-280.
-
(2006)
IEEE Trans Evol Comput
, vol.10
, Issue.3
, pp. 256-280
-
-
Bonissone, P.P.1
Subbu, R.2
Eklund, N.3
Kiehl, T.R.4
-
27
-
-
77958470585
-
-
Seeger M (2001) Learning with labeled and unlabeled data. Technical report, Technical Report, Institute for adaptive and neural computation, University of Edinburgh.
-
-
-
-
28
-
-
33846951185
-
-
Silva MM, Maia TT, Braga AP (2005) An evolutionary approach to transduction in support vector machines. In: Proceedings of the fifth international conference on hybrid intelligent systems, pp 329-334.
-
-
-
-
29
-
-
77958454684
-
-
Spears WM (1998) The role of mutation and recombinaison in evolutionary algorithms. Ph. D. Thesis, George Mason University, Fairfax, VA.
-
-
-
-
30
-
-
77958495935
-
-
Szummer M, Jaakkola T (2001) Partially labeled classification with markov random walks. In: Advances in neural information processing systems, vol 14.
-
-
-
-
32
-
-
77958490646
-
-
Zhou D, Bousquet O, Lal T, Weston J, Schölkopf B (2003) Learning with local and global consistency. In: 18th Annual conference on neural information processing systems.
-
-
-
-
33
-
-
33745456231
-
-
Technical Report 1530, Computer Sciences, University of Wisconsin-Madison
-
Zhu X (2008) Semi-supervised learning literature survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison. http://www.cs.wisc.edu/∼jerryzhu/pub/ssl_survey.pdf.
-
(2008)
Semi-supervised learning literature survey
-
-
Zhu, X.1
|