-
2
-
-
35648969813
-
-
C.J.C. Burges, Simplified support vector decision rules, in: L. Saita (Ed.), Proceedings of the 13th International Conference on Machine Learning (ICML '96), Bari, Italy, Morgan Kaufmann, San Francisco, CA, July 1996, pp. 71-77.
-
-
-
-
3
-
-
0000406788
-
Solving multiclass learning problems via error-correcting output codes
-
Dietterich T., and Bakiri G. Solving multiclass learning problems via error-correcting output codes. J. Artif. Intell. Res. 2 (1995) 263-286
-
(1995)
J. Artif. Intell. Res.
, vol.2
, pp. 263-286
-
-
Dietterich, T.1
Bakiri, G.2
-
4
-
-
26444573178
-
-
K.-B. Duan, S.S. Keerthi, Which is the best multiclass SVM method? An empirical study, in: N.C. Oza, R. Polikar, J. Kittler, F. Roli (Eds.), Proceedings of Multiple Classifier Systems, 6th International Workshop, MCS 2005, Lecture Notes in Computer Science, Springer, Berlin, Heidelberg, 2005, pp. 278-285.
-
-
-
-
5
-
-
0036505670
-
A comparison of methods for multiclass support vector machines
-
Hsu C.-W., and Lin C.-J. A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Networks 13 2 (2002) 415-425
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, Issue.2
, pp. 415-425
-
-
Hsu, C.-W.1
Lin, C.-J.2
-
6
-
-
35648933712
-
-
〈http://www.csie.ntu.edu.tw/∼cjlin/libsvm/〉.
-
-
-
-
7
-
-
35648961098
-
-
〈http://masper.uni-mb.si〉.
-
-
-
-
8
-
-
9244258603
-
The pre-image problem in kernel methods
-
Kwok J.T., and Tsang I.W. The pre-image problem in kernel methods. IEEE Trans. Neural Networks 15 6 (2004) 1517-1525
-
(2004)
IEEE Trans. Neural Networks
, vol.15
, Issue.6
, pp. 1517-1525
-
-
Kwok, J.T.1
Tsang, I.W.2
-
9
-
-
0035441377
-
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes
-
Navia-Vázquez A., Pérez-Cruz F., Artés-Rodríguez A., and Figueiras-Vidal A. Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. IEEE Trans. Neural Networks 12 5 (2001) 1047-1059
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, Issue.5
, pp. 1047-1059
-
-
Navia-Vázquez, A.1
Pérez-Cruz, F.2
Artés-Rodríguez, A.3
Figueiras-Vidal, A.4
-
10
-
-
0037411308
-
Growing support vector classifiers with controlled complexity
-
Parrado-Hernández E., Arenas-García J., Mora-Jiménez I., Figueiras-Vidal A.R., and Navia-Vázquez A. Growing support vector classifiers with controlled complexity. Pattern Recognition 36 7 (2003) 1479-1488
-
(2003)
Pattern Recognition
, vol.36
, Issue.7
, pp. 1479-1488
-
-
Parrado-Hernández, E.1
Arenas-García, J.2
Mora-Jiménez, I.3
Figueiras-Vidal, A.R.4
Navia-Vázquez, A.5
-
11
-
-
35649004640
-
-
F. Pérez-Cruz, P. Alarcón-Diana, A. Navia-Vázquez, A. Artés-Rodríguez, Fast training of support vector classifiers, Advances in Neural Information Processing Systems, vol. 13, 2000, pp. 734-740.
-
-
-
-
12
-
-
84888364466
-
Large margin DAGs for multiclass classification
-
Solla S.A., Leen T.K., and Müller K.-R. (Eds), MIT Press, Cambridge, MA
-
Platt J.C., Cristianini N., and Shawe-Taylor J. Large margin DAGs for multiclass classification. In: Solla S.A., Leen T.K., and Müller K.-R. (Eds). Advances in Neural Information Processing Systems vol. 12 (2000), MIT Press, Cambridge, MA 547-553
-
(2000)
Advances in Neural Information Processing Systems
, vol.12
, pp. 547-553
-
-
Platt, J.C.1
Cristianini, N.2
Shawe-Taylor, J.3
-
14
-
-
35649000650
-
-
A.J. Smola, B. Schölkopf, Sparse greedy matrix approximation for machine learning, in: Proceedings of the 17th International Conference on Machine Learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2000, pp. 911-918.
-
-
-
-
15
-
-
34250693625
-
-
B. Tang, D. Mazzoni, Multiclass reduced-set support vector machines, in: Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, PA, USA, 2006.
-
-
-
-
17
-
-
51349159085
-
Probability estimates for multi-class classification by pairwise coupling
-
Wu T.-F., Lin C.-J., and Weng R.C. Probability estimates for multi-class classification by pairwise coupling. J. Mach. Learning Res. 5 (2004) 975-1005
-
(2004)
J. Mach. Learning Res.
, vol.5
, pp. 975-1005
-
-
Wu, T.-F.1
Lin, C.-J.2
Weng, R.C.3
|