-
4
-
-
0036160859
-
Efficient SVM regression training with SMO
-
Flake, G.W. and Lawrence, S., 2002, Efficient SVM regression training with SMO. Machine Learning, 46(1), 271-290.
-
(2002)
Machine Learning
, vol.46
, Issue.1
, pp. 271-290
-
-
Flake, G.W.1
Lawrence, S.2
-
5
-
-
0000545946
-
Improvements to Platt's SMO algorithm for SVM classifier design
-
Keerthi, S.S., Shevade, S.K., Bhattacharyya, C. and Murthy, K.R.K., 2001, Improvements to Platt's SMO algorithm for SVM classifier design. Neural Computation, 13, 637-649.
-
(2001)
Neural Computation
, vol.13
, pp. 637-649
-
-
Keerthi, S.S.1
Shevade, S.K.2
Bhattacharyya, C.3
Murthy, K.R.K.4
-
6
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Schölkopf, C. Burges and A. Smola (Eds) (Cambridge, MA: MIT Press)
-
Platt, J.C., 1998, Fast training of support vector machines using sequential minimal optimization. In: B. Schölkopf, C. Burges and A. Smola (Eds) Advances in Kernel Methods-Support Vector Learning (Cambridge, MA: MIT Press).
-
(1998)
Advances in Kernel Methods-support Vector Learning
-
-
Platt, J.C.1
-
7
-
-
0000913324
-
SVMTorch: Support vector machines for large-scale regression problems
-
Collobert, R. and Benjo, S., 2001, SVMTorch: support vector machines for large-scale regression problems. Journal of Machine Learning Research, 1, 143-160.
-
(2001)
Journal of Machine Learning Research
, vol.1
, pp. 143-160
-
-
Collobert, R.1
Benjo, S.2
-
8
-
-
0036158552
-
A simple decomposition method for support vector machines
-
Hsu, C.W. and Lin, C.J., 2002, A simple decomposition method for support vector machines. Machine Learning, 46, 291-314.
-
(2002)
Machine Learning
, vol.46
, pp. 291-314
-
-
Hsu, C.W.1
Lin, C.J.2
-
9
-
-
0002714543
-
Making large-scale SVM learning practical
-
B. Schölkopf, C.J.C. Burges and A. Smola (Eds) (Cambridge, MA: MIT Press)
-
Joachims, T., 1998, Making large-scale SVM learning practical. In: B. Schölkopf, C.J.C. Burges and A. Smola (Eds) Advances in Kernel Methods-Support Vector Learning (Cambridge, MA: MIT Press).
-
(1998)
Advances in Kernel Methods-support Vector Learning
-
-
Joachims, T.1
-
10
-
-
0030673582
-
Training support vector machines: An application to face detection
-
IEEE Computer Society, Puerto Rico
-
Osuna, E. and Freund, R., Girosi, F., 1997, Training support vector machines: an application to face detection. Proceedings of the CVPR'97, IEEE Computer Society, Puerto Rico, 130-136.
-
(1997)
Proceedings of the CVPR'97
, pp. 130-136
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
11
-
-
0037378238
-
A parallel solver for large quadratic programs in training support vector machines
-
Zanghirati, G. and Zanni, L., 2003, A parallel solver for large quadratic programs in training support vector machines. Parallel Computing, 29, 535-551.
-
(2003)
Parallel Computing
, vol.29
, pp. 535-551
-
-
Zanghirati, G.1
Zanni, L.2
-
12
-
-
12444278992
-
Gradient projection methods for quadratic programs and applications in training support vector machines
-
Serafini, T., Zanghirati, G. and Zanni, L., 2005, Gradient projection methods for quadratic programs and applications in training support vector machines. Optimization Methods and Software, 20(2-3), 353-378.
-
(2005)
Optimization Methods and Software
, vol.20
, Issue.2-3
, pp. 353-378
-
-
Serafini, T.1
Zanghirati, G.2
Zanni, L.3
-
13
-
-
0012595689
-
Variable projection method for large quadratic programs in training support vector machines
-
Department of Mathematics, University of Ferrara
-
Zanghirati, G. and Zanni, L., 2003, Variable projection method for large quadratic programs in training support vector machines. Technical Report 339, Department of Mathematics, University of Ferrara.
-
(2003)
Technical Report
, vol.339
-
-
Zanghirati, G.1
Zanni, L.2
-
14
-
-
27744508516
-
New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds
-
Department of Mathematics, University of Dundee
-
Dai, Y.H. and Fletcher, R., 2003, New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds. Research Report NA/216, Department of Mathematics, University of Dundee.
-
(2003)
Research Report
, vol.NA-216
-
-
Dai, Y.H.1
Fletcher, R.2
-
15
-
-
0000859664
-
An algorithm for a singly constrained class of quadratic programs subject to upper and lower bounds
-
Pardalos, P.M. and Kovoor, N., 1990, An algorithm for a singly constrained class of quadratic programs subject to upper and lower bounds. Mathematical Programming, 46, 321-328.
-
(1990)
Mathematical Programming
, vol.46
, pp. 321-328
-
-
Pardalos, P.M.1
Kovoor, N.2
-
16
-
-
27744445548
-
Variable projection methods for large-scale quadratic optimization in data analysis applications
-
P. Daniele et al., (Ed.) (Boston: Kluwer Academic Publication)
-
Galligani, E., Ruggiero, V. and Zanni, L., 2003, Variable projection methods for large-scale quadratic optimization in data analysis applications, In: P. Daniele et al., (Ed.) Equilibrium Problems and Variational Models, Nonconvex Optimization and Its Application, 68 (Boston: Kluwer Academic Publication), pp. 186-211.
-
(2003)
Equilibrium Problems and Variational Models, Nonconvex Optimization and Its Application
, vol.68
, pp. 186-211
-
-
Galligani, E.1
Ruggiero, V.2
Zanni, L.3
-
17
-
-
0034134885
-
A modified projection algorithm for large strictly convex quadratic programs
-
Ruggiero, V. and Zanni, L., 2000, A modified projection algorithm for large strictly convex quadratic programs. Journal of Optimization and Theory Application, 104(2), 281-299.
-
(2000)
Journal of Optimization and Theory Application
, vol.104
, Issue.2
, pp. 281-299
-
-
Ruggiero, V.1
Zanni, L.2
-
18
-
-
0012540092
-
Variable projection methods for large convex quadratic programs
-
D. Trigiante (Ed.). Advances in the Theory of Computational Mathematics 3, Nova Science Publication
-
Ruggiero, V. and Zanni, L., 2000, Variable projection methods for large convex quadratic programs. In: D. Trigiante (Ed.) Recent Trends in Numerical Analysis. Advances in the Theory of Computational Mathematics 3, Nova Science Publication, 299-313.
-
(2000)
Recent Trends in Numerical Analysis
, pp. 299-313
-
-
Ruggiero, V.1
Zanni, L.2
-
19
-
-
0034228643
-
The analysis of decomposition methods for support vector machines
-
Chang, C.C., Hsu, C.W. and Lin, C.J., 2000, The analysis of decomposition methods for support vector machines. IEEE Transactions on Neural Networks, 11(4), 1003-1008.
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
, Issue.4
, pp. 1003-1008
-
-
Chang, C.C.1
Hsu, C.W.2
Lin, C.J.3
-
20
-
-
0035506741
-
On the convergence of the decomposition method for support vector machines
-
Lin, C.J., 2001, On the convergence of the decomposition method for support vector machines. IEEE Transactions on Neural Networks, 12, 1288-1298.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 1288-1298
-
-
Lin, C.J.1
-
21
-
-
0038178786
-
Linear convergence of a decomposition method for support vector machines
-
Department of Computer Science and Information Engineering, National Taiwan University
-
Lin, C.J., 2001, Linear convergence of a decomposition method for support vector machines. Technical Report, Department of Computer Science and Information Engineering, National Taiwan University.
-
(2001)
Technical Report
-
-
Lin, C.J.1
-
22
-
-
0036163654
-
Convergence of a generalized SMO algorithm for SVM classifier design
-
Keerthi, S.S. and Gilbert, E.G., 2002, Convergence of a generalized SMO algorithm for SVM classifier design. Machine Learning, 46, 351-360.
-
(2002)
Machine Learning
, vol.46
, pp. 351-360
-
-
Keerthi, S.S.1
Gilbert, E.G.2
-
23
-
-
0036129250
-
Asymptotic convergence of an SMO algorithm without any assumptions
-
Lin, C.J., 2002, Asymptotic convergence of an SMO algorithm without any assumptions. IEEE Transactions on Neural Networks, 13, 248-250.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, pp. 248-250
-
-
Lin, C.J.1
-
25
-
-
0032594961
-
Successive overrelaxation for support vector machines
-
Mangasarian, O.L. and Musicant, D.R., 1999, Successive overrelaxation for support vector machines. IEEE Transactions on Neural Networks, 10, 1032-1037.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, pp. 1032-1037
-
-
Mangasarian, O.L.1
Musicant, D.R.2
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