-
1
-
-
25444522689
-
Fast kernel classifiers with on-line and active learning
-
Available online at
-
Bordes, A., Ertekin, S., Weston, J., & Bottou, L. (2005). Fast kernel classifiers with on-line and active learning. Journal of Machine Learning Research, 5, 1579-1619. Available online at http://leon.bottou.com/projects/ lasvm.
-
(2005)
Journal of Machine Learning Research
, vol.5
, pp. 1579-1619
-
-
Bordes, A.1
Ertekin, S.2
Weston, J.3
Bottou, L.4
-
2
-
-
34249753618
-
Support-vector networks
-
Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273-297.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
3
-
-
29144499905
-
Working set selection using the second order information for training support vector machines
-
Fan, R.-E., Chen, P-H., & Lin, C. J. (2005). Working set selection using the second order information for training support vector machines. Journal of Machine Learning Research, 6, 1889-1918.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1889-1918
-
-
Fan, R.-E.1
Chen, P.-H.2
Lin, C.J.3
-
4
-
-
23944487822
-
Gradient-based adaptation of general gaussian kernels
-
Glasmachers, T., & Igel, C. (2005). Gradient-based adaptation of general gaussian kernels. Neural Computation, 17, 2099-2105.
-
(2005)
Neural Computation
, vol.17
, pp. 2099-2105
-
-
Glasmachers, T.1
Igel, C.2
-
5
-
-
33745784639
-
Maximum-gain working set selection for support vector machines
-
Glasmachers, T., & Igel, C. (2006). Maximum-gain working set selection for support vector machines. Journal of Machine Learning Research, 7, 1437-1466.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1437-1466
-
-
Glasmachers, T.1
Igel, C.2
-
6
-
-
0002714543
-
Making large-scale SVM learning practical
-
B. Schölkopf, C. Burges, & A. Smola Eds, Cambridge, MA: MIT Press
-
Joachims, T. (1999). Making large-scale SVM learning practical. In B. Schölkopf, C. Burges, & A. Smola (Eds.), Advances in kernel methods-Support vector learning (pp. 169-184). Cambridge, MA: MIT Press.
-
(1999)
Advances in kernel methods-Support vector learning
, pp. 169-184
-
-
Joachims, T.1
-
7
-
-
38149138405
-
Building support vector machines with reduced classifier complexity
-
Keerthi, S., Chapelle, O., & DeCoste, D. (2006). Building support vector machines with reduced classifier complexity. Journal of Machine Learning Research, 8, 1-22.
-
(2006)
Journal of Machine Learning Research
, vol.8
, pp. 1-22
-
-
Keerthi, S.1
Chapelle, O.2
DeCoste, D.3
-
8
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Schölkopf, C. J. C. Burges, & A. J. Smola Eds, Cambridge, MA: MIT Press
-
Piatt, J. (1999). Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. J. C. Burges, & A. J. Smola (Eds.), Advances in kernel methods-Support vector learning (pp. 185-208). Cambridge, MA: MIT Press.
-
(1999)
Advances in kernel methods-Support vector learning
, pp. 185-208
-
-
Piatt, J.1
-
9
-
-
21844440579
-
Core vector machines: Fast SVM training on very large data sets
-
Tsang, I. W., Kwok, J. T., & Cheung, P-M. (2005). Core vector machines: Fast SVM training on very large data sets. Journal of Machine Learning Research, 6, 363-392.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 363-392
-
-
Tsang, I.W.1
Kwok, J.T.2
Cheung, P.-M.3
-
10
-
-
1942516515
-
SimpleSVM
-
T. Fawcett & N. Mishra Eds, New York: AAAI Press
-
Vishwanathan, S. V. N., Smola, A. J., & Murty, M. N. (2003). SimpleSVM. In T. Fawcett & N. Mishra (Eds.), Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003) (pp. 760-767). New York: AAAI Press.
-
(2003)
Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003)
, pp. 760-767
-
-
Vishwanathan, S.V.N.1
Smola, A.J.2
Murty, M.N.3
|