-
2
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
D. Haussler (editor). ACM Press, Pittsburg, PA
-
BOER, B.E., GUYON, I.M. and VAPNIK, V.M. (1992). A training algorithm for optimal margin classifiers. D. Haussler (editor) Proceedings of the Fifth Annual Workshop on Computational Learning Theory, pp. 144-152. ACM Press, Pittsburg, PA.
-
(1992)
Proceedings of the Fifth Annual Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boer, B.E.1
Guyon, I.M.2
Vapnik, V.M.3
-
4
-
-
0003554988
-
Support vector machines for large-scale regression problems
-
Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Martigny, Switzerland
-
COLLOBERT, R. and BENGIO, S. (2000). Support vector machines for large-scale regression problems. IDIAP Research Report 00-17, Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Martigny, Switzerland.
-
(2000)
IDIAP Research Report
, vol.17
-
-
Collobert, R.1
Bengio, S.2
-
5
-
-
1942515094
-
On kernel target alignment
-
Submitted
-
CHRISTIANINI, N., KANDOLA, J., ELISEEFF, A. and SHAWE-TAYLOR, J. (2002). On kernel target alignment. Journal of Machine Learning Research. Submitted.
-
(2002)
Journal of Machine Learning Research
-
-
Christianini, N.1
Kandola, J.2
Eliseeff, A.3
Shawe-Taylor, J.4
-
6
-
-
0003425664
-
Support vector machines for classification and regression
-
Department of Electronics and Computer Science, Faculty of Engineering and Applied Science, University of Southampton
-
GUNN, S.R. (1998). Support vector machines for classification and regression. Tech. rep., Department of Electronics and Computer Science, Faculty of Engineering and Applied Science, University of Southampton.
-
(1998)
Tech. Rep.
-
-
Gunn, S.R.1
-
7
-
-
1542310258
-
Text categorization with support vector machines: Learning with many relevant features
-
Fachbereich Informatik, Universität Dortmund, Dortmund, Germany. Revised April 1998
-
JOACHIMS, T. (1997). Text categorization with support vector machines: Learning with many relevant features. LS VIII-Report 23, Fachbereich Informatik, Universität Dortmund, Dortmund, Germany. Revised April 1998.
-
(1997)
LS VIII-report
, vol.23
-
-
Joachims, T.1
-
8
-
-
0141465877
-
Making large-scale SVM learning practical
-
Fachbereich Informatik, Universität Dortmund, Dortmund, Germany
-
JOACHIMS, T. (1998). Making large-scale SVM learning practical. LS VIII-Report 24, Fachbereich Informatik, Universität Dortmund, Dortmund, Germany, http://www.-ai.cs.uni-dortmund.de/svm_light
-
(1998)
LS VIII-Report
, vol.24
-
-
Joachims, T.1
-
10
-
-
0003710388
-
Automatic model selection for support vector machines
-
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
-
LEE, J. H. and LIN, C.J. (2000). Automatic model selection for support vector machines. Tech. rep., Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
-
(2000)
Tech. Rep.
-
-
Lee, J.H.1
Lin, C.J.2
-
11
-
-
51749084180
-
Prior knowledge in support vector kernels
-
M.I. Jordan, M.J. Kearns and S. Solla (editors). MIT Press, Cambridge, MA
-
SCHÖLKOPF, B., SIMARD, P., SMOLA, A.J. and VAPNIK, V.N. (1998). Prior knowledge in support vector kernels. M.I. Jordan, M.J. Kearns and S. Solla (editors) Advances in Neural Information Processings Systems, Volume 10, pp. 640-646. MIT Press, Cambridge, MA.
-
(1998)
Advances in Neural Information Processings Systems
, vol.10
, pp. 640-646
-
-
Schölkopf, B.1
Simard, P.2
Smola, A.J.3
Vapnik, V.N.4
-
12
-
-
18444370620
-
-
Personal Communication
-
STEEL, S.J. (2003). Personal Communication.
-
(2003)
-
-
Steel, S.J.1
|