-
2
-
-
0032594959
-
An overview of statistical Learning Theory
-
V. Vapnik, An overview of statistical Learning Theory, IEEE Trans. Neural Network, 10 (5) (1999)988-999.
-
(1999)
IEEE Trans. Neural Network
, vol.10
, Issue.5
, pp. 988-999
-
-
Vapnik, V.1
-
5
-
-
0031272926
-
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
-
B. SchVolkopf, K.-K. Sung, C. Burges, F. Girosi, P. Niyogi, T. Poggio, V. Vapnik, Comparing support vector machines with Gaussian kernels to radial basis function classifiers, IEEE Trans. Signal Process. 45 (11) (1997) 2758-2765.
-
(1997)
IEEE Trans. Signal Process
, vol.45
, Issue.11
, pp. 2758-2765
-
-
SchVolkopf, B.1
Sung, K.-K.2
Burges, C.3
Girosi, F.4
Niyogi, P.5
Poggio, T.6
Vapnik, V.7
-
6
-
-
0003798627
-
-
B. SchVolkopf, C. Burges, A. Smola Eds, MIT Press, Cambridge, MA
-
B. SchVolkopf, C. Burges, A. Smola (Eds.), Advances in Kernel Methods - Support Vector Learning, MIT Press, Cambridge, MA, 1998.
-
(1998)
Advances in Kernel Methods - Support Vector Learning
-
-
-
7
-
-
0032594954
-
Input space vs. feature space in kernel-based methods
-
B. SchVolkopf, S. Mika, C. Burges, P. Knirsch, K.-R. MVuller, G. RVatsch, A. Smola, Input space vs. feature space in kernel-based methods, IEEE Trans. Neural Networks. 10 (5) (1999) 1000-1017.
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, Issue.5
, pp. 1000-1017
-
-
SchVolkopf, B.1
Mika, S.2
Burges, C.3
Knirsch, P.4
MVuller, K.-R.5
RVatsch, G.6
Smola, A.7
-
8
-
-
0032098361
-
The connection between regularization operators and support vector kernels
-
A. Smola, B. SchVolkopf, K.-R. MVuller, The connection between regularization operators and support vector kernels, Neural Networks. 11 (1998) 637-649.
-
(1998)
Neural Networks
, vol.11
, pp. 637-649
-
-
Smola, A.1
SchVolkopf, B.2
MVuller, K.-R.3
-
9
-
-
24044515976
-
On a kernel-based method for pattern recognition, regression, approximation and operator inversion
-
A. Smola, B. SchVolkopf, On a kernel-based method for pattern recognition, regression, approximation and operator inversion, Algorithmica 22 (1998) 211-231.
-
(1998)
Algorithmica
, vol.22
, pp. 211-231
-
-
Smola, A.1
SchVolkopf, B.2
-
10
-
-
0003953609
-
-
J.A.K. Suykens, J. Vandewalle Eds, Kluwer Academic Publishers, Boston
-
J.A.K. Suykens, J. Vandewalle (Eds.), Nonlinear Modeling: Advanced Black-box Techniques, Kluwer Academic Publishers, Boston, 1998.
-
(1998)
Nonlinear Modeling: Advanced Black-box Techniques
-
-
-
11
-
-
24044515976
-
On a kernel-based method for pattern recognition, regression, approximation and operator inversion
-
A. Smola, B. SchVolkopf, On a kernel-based method for pattern recognition, regression, approximation and operator inversion, Algorithmica, 22 (1998) 211-231.
-
(1998)
Algorithmica
, vol.22
, pp. 211-231
-
-
Smola, A.1
SchVolkopf, B.2
-
12
-
-
0032594954
-
Input space vs. feature space in kernel-based methods
-
B. SchVolkopf, S. Mika, C. Burges, P. Knirsch, K.-R. MVuller, G. RVatsch, A. Smola, Input space vs. feature space in kernel-based methods, IEEE Trans. Neural Networks, 10 (5) (1999) 1000-1017.
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, Issue.5
, pp. 1000-1017
-
-
SchVolkopf, B.1
Mika, S.2
Burges, C.3
Knirsch, P.4
MVuller, K.-R.5
RVatsch, G.6
Smola, A.7
-
13
-
-
0032638628
-
Least squares support vector machine classifiers
-
J.A.K. Suykens, J. Vandewalle, Least squares support vector machine classifiers, Neural Process. Lett. 9 (3) (1999) 293-300.
-
(1999)
Neural Process. Lett
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
14
-
-
0035181296
-
Optimal Control by Least Squares Support Vector Machines
-
J.A.K. Suykens, J. Vandewalle, B. De Moor, Optimal Control by Least Squares Support Vector Machines, Neural Networks 14 (1) (2001) 23-35.
-
(2001)
Neural Networks
, vol.14
, Issue.1
, pp. 23-35
-
-
Suykens, J.A.K.1
Vandewalle, J.2
De Moor, B.3
-
15
-
-
6344246189
-
Study of Nonlinear System Identification Based on Support Vector Machines
-
Shanghai, China, Aug
-
Ming-guang Zhang,Wei-wuYan,Zhan-ting Yuan. Study of Nonlinear System Identification Based on Support Vector Machines. IEEE ICMLC2005,Shanghai, China, Aug.2004. pp3287-3290.
-
(2004)
IEEE ICMLC2005
, pp. 3287-3290
-
-
Ming-guang Zhang, W.1
Yuan, Z.2
|