-
3
-
-
33845423521
-
-
Berlin, Heidelberg: Springer-Verlag
-
T.-M. Huang, V. Kecman, and I. Kopriva, Kernel Based Algorithms for Mining Huge Data Sets, Supervised, Semisupervised and Unsupervised Learning. Berlin, Heidelberg: Springer-Verlag, 2006.
-
(2006)
Kernel Based Algorithms for Mining Huge Data Sets, Supervised, Semisupervised and Unsupervised Learning
-
-
Huang, T.-M.1
Kecman, V.2
Kopriva, I.3
-
5
-
-
68149165759
-
A new learning paradigm: Learning using privileged information
-
Jul
-
V. Vapnik and A. Vashist, "A new learning paradigm: Learning using privileged information," Neural Networks, vol. 22, no. 5-6, pp. 544-557, Jul. 2009.
-
(2009)
Neural Networks
, vol.22
, Issue.5-6
, pp. 544-557
-
-
Vapnik, V.1
Vashist, A.2
-
8
-
-
68149170189
-
Learning using hidden information: Master-class learning
-
IOS Press
-
V. Vapnik, A. Vashist, and N. Pavlovitch, "Learning using hidden information: Master-class learning," in NATO Science for Peace and Security Series, D: Information and Communication Security. IOS Press, 2008, vol. 19, pp. 3-14.
-
(2008)
NATO Science for Peace and Security Series, D: Information and Communication Security
, vol.19
, pp. 3-14
-
-
Vapnik, V.1
Vashist, A.2
Pavlovitch, N.3
-
9
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
New York, NY: ACM Press
-
B. Boser, I. Guyon, and V. Vapnik, "A training algorithm for optimal margin classifiers," in COLT92: Proceedings of the Fifth Annual Workshop on Computational Learning Theory. New York, NY: ACM Press, 1992, pp. 144-152.
-
(1992)
COLT92: Proceedings of the Fifth Annual Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.1
Guyon, I.2
Vapnik, V.3
-
10
-
-
34249753618
-
Support vector networks
-
C. Cortes and V. Vapnik, "Support vector networks," Macine Learning, vol. 20, no. 3, p. 273C297, 1995.
-
(1995)
Macine Learning
, vol.20
, Issue.3
-
-
Cortes, C.1
Vapnik, V.2
-
11
-
-
0030673582
-
Training support vector machines: An application to face detection
-
E. Osuna, R. Freund, and F. Girosi, "Training support vector machines: An application to face detection," in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 6, 1997, pp. 130-136.
-
(1997)
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, vol.6
, pp. 130-136
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
13
-
-
0002714543
-
Making large-scale support vector machine learning practical
-
B. Schölkopf, C. Burges, and A. Smola, Eds. Cambridge, MA, USA: MIT Press
-
T. Joachims, "Making large-scale support vector machine learning practical," in Advances in Kernel Methods: Support Vector Machines, B. Schölkopf, C. Burges, and A. Smola, Eds. Cambridge, MA, USA: MIT Press, 1999, p. 169C184.
-
(1999)
Advances in Kernel Methods: Support Vector Machines
-
-
Joachims, T.1
-
14
-
-
0003684449
-
-
New York, NY: Springer-Verlag
-
T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data mining, Inference, and Prediction. New York, NY: Springer-Verlag, 2001.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
16
-
-
0002709342
-
Feature selection via concave minimization and support vector machines
-
Proceedings of the Fifteenth International Conference on Machine Learning, ser. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
-
P. S. Bradley and O. L. Mangasarian, "Feature selection via concave minimization and support vector machines," in Proceedings of the Fifteenth International Conference on Machine Learning, ser. ICML '98. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 1998, pp. 82-90.
-
(1998)
ICML '98
, pp. 82-90
-
-
Bradley, P.S.1
Mangasarian, O.L.2
-
17
-
-
12344336271
-
Support vector machine classification via parameterless robust linear programming
-
Feb
-
O. L. Mangasarian, "Support vector machine classification via parameterless robust linear programming." Optimization Methods and Software, vol. 20, no. 1, pp. 115-125, Feb. 2005.
-
(2005)
Optimization Methods and Software
, vol.20
, Issue.1
, pp. 115-125
-
-
Mangasarian, O.L.1
-
18
-
-
24644515558
-
1-norm support vector machines
-
MIT Press
-
J. Zhu, S. Rosset, T. Hastie, and R. Tibshirani, "1-norm support vector machines," in Neural Information Processing Systems. MIT Press, 2003, p. 16.
-
(2003)
Neural Information Processing Systems
, pp. 16
-
-
Zhu, J.1
Rosset, S.2
Hastie, T.3
Tibshirani, R.4
-
19
-
-
1542365112
-
Dimensionality reduction via sparse support vector machines
-
J. Bi, K. P. Bennett, M. Embrechts, C. M. Breneman, M. Song, I. Guyon, and A. Elisseeff, "Dimensionality reduction via sparse support vector machines," Journal of Machine Learning Research, vol. 3, p. 2003, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 2003
-
-
Bi, J.1
Bennett, K.P.2
Embrechts, M.3
Breneman, C.M.4
Song, M.5
Guyon, I.6
Elisseeff, A.7
-
23
-
-
36849072045
-
Graph implementations for nonsmooth convex programs
-
Recent Advances in Learning and Control, ser. V. Blondel, S. Boyd, and H. Kimura, Eds. Springer-Verlag Limited
-
-, "Graph implementations for nonsmooth convex programs,"in Recent Advances in Learning and Control, ser. Lecture Notes in Control and Information Sciences, V. Blondel, S. Boyd, and H. Kimura, Eds. Springer-Verlag Limited, 2008, pp. 95-110.
-
(2008)
Lecture Notes in Control and Information Sciences
, pp. 95-110
-
-
Grant, M.1
Boyd, S.2
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