-
2
-
-
0000667930
-
Training ν-support vector classifiers: Theory and algorithms
-
C.-C. Chang and C.-J. Lin. Training ν-support vector classifiers: Theory and algorithms. Neural Computation, (9):2119-2147, 2001.
-
(2001)
Neural Computation
, vol.9
, pp. 2119-2147
-
-
Chang, C.-C.1
Lin, C.-J.2
-
3
-
-
0001260194
-
Exact simplification of support vector solutions
-
T. Downs, K. E. Gates, and A. Masters. Exact simplification of support vector solutions. J. Mach. Learn. Res., 2:293-297, 2002.
-
(2002)
J. Mach. Learn. Res
, vol.2
, pp. 293-297
-
-
Downs, T.1
Gates, K.E.2
Masters, A.3
-
4
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Aug
-
Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal, of Computer and System Sciences, 55(1): 119-139, Aug. 1997.
-
(1997)
Journal, of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
7
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Cambridge, MA, MIT Press
-
J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods -Support Vector Learning, pages 185-208, Cambridge, MA, 1999. MIT Press.
-
(1999)
Advances in Kernel Methods -Support Vector Learning
, pp. 185-208
-
-
Platt, J.1
-
8
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
Dec
-
R. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3):297-336, Dec. 1999.
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.1
Singer, Y.2
-
10
-
-
33847284080
-
-
B. Schölkopf, A. Smola, R. Williamson, and P. Bartlett. New support vector algorithms. NeuroCOLT Technical Report NC-TR-98-031, Royal Holloway College, University of London, UK, 1998.
-
B. Schölkopf, A. Smola, R. Williamson, and P. Bartlett. New support vector algorithms. NeuroCOLT Technical Report NC-TR-98-031, Royal Holloway College, University of London, UK, 1998.
-
-
-
-
11
-
-
12444265838
-
Cosistency of support vector machines and other regularized kernel classifiers
-
January
-
I. Steinwart. Cosistency of support vector machines and other regularized kernel classifiers. IEEE Transactions on Information Theory, 51(1): 128-142, January 2005.
-
(2005)
IEEE Transactions on Information Theory
, vol.51
, Issue.1
, pp. 128-142
-
-
Steinwart, I.1
-
12
-
-
84956981949
-
Performance degradation in boosting
-
J. Kittler and F. Roli, editors, Proceedings of the 2nd International Workshop on Multiple Classifier Systems MCS2001, of, Springer
-
J. Wickramaratna, S. Holden, and B. Buxton. Performance degradation in boosting. In J. Kittler and F. Roli, editors, Proceedings of the 2nd International Workshop on Multiple Classifier Systems MCS2001, volume 2096 of LNCS, pages 11-21. Springer, 2001.
-
(2001)
LNCS
, vol.2096
, pp. 11-21
-
-
Wickramaratna, J.1
Holden, S.2
Buxton, B.3
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