-
1
-
-
0004094721
-
-
The MIT Press, Cambridge, MA, USA
-
B. Schölkopf and A. J. Smola, Learning with Kernels, The MIT Press, Cambridge, MA, USA, 2002.
-
(2002)
Learning with Kernels
-
-
Schölkopf, B.1
Smola, A.J.2
-
2
-
-
0001071040
-
A resource-allocating network for function interpolation
-
J. Platt, "A resource-allocating network for function interpolation," Neural Computation, vol. 3, no. 2, pp. 213-225, 1991.
-
(1991)
Neural Computation
, vol.3
, Issue.2
, pp. 213-225
-
-
Platt, J.1
-
3
-
-
3543096272
-
The kernel recursive least-squares algorithm
-
Y. Engel, S. Mannor, and R. Meir, "The kernel recursive least-squares algorithm," IEEE Transactions on Signal Processing, vol. 52, no. 8, pp. 2275-2285, 2004.
-
(2004)
IEEE Transactions on Signal Processing
, vol.52
, Issue.8
, pp. 2275-2285
-
-
Engel, Y.1
Mannor, S.2
Meir, R.3
-
4
-
-
72149098116
-
An information theoretic approach of designing sparse kernel adaptive filters
-
Dec.
-
W. Liu, I. Park, and J. C. Príncipe, "An information theoretic approach of designing sparse kernel adaptive filters," IEEE Transactions on Neural Networks, vol. 20, no. 12, pp. 1950-1961, Dec. 2009.
-
(2009)
IEEE Transactions on Neural Networks
, vol.20
, Issue.12
, pp. 1950-1961
-
-
Liu, W.1
Park, I.2
Príncipe, J.C.3
-
5
-
-
0000494466
-
Optimal brain damage
-
Yann Le Cun, John S. Denker, and Sara A. Solla, "Optimal brain damage," in 2nd Annual Conf. on Neural Information Proc. Syst. (NIPS), Denver, USA, Nov. 1989, pp. 598-605.
-
2nd Annual Conf. on Neural Information Proc. Syst. (NIPS), Denver, USA, Nov. 1989
, pp. 598-605
-
-
Le Cun, Y.1
Denker, J.S.2
Solla, S.A.3
-
6
-
-
84943270068
-
Optimal brain surgeon and general network pruning
-
B. Hassibi, D.G. Stork, and G.J. Wolff, "Optimal brain surgeon and general network pruning," in IEEE International Conference on Neural Networks, 1993, vol. 1, pp. 293-299.
-
IEEE International Conference on Neural Networks, 1993
, vol.1
, pp. 293-299
-
-
Hassibi, B.1
Stork, D.G.2
Wolff, G.J.3
-
7
-
-
0037507242
-
Pruning error minimization in least squares support vector machines
-
May
-
B.J. de Kruif and T.J.A. de Vries, "Pruning error minimization in least squares support vector machines," IEEE Transactions on Neural Networks, vol. 14, no. 3, pp. 696-702, May 2003.
-
(2003)
IEEE Transactions on Neural Networks
, vol.14
, Issue.3
, pp. 696-702
-
-
De Kruif, B.J.1
De Vries, T.J.A.2
-
8
-
-
33751237473
-
A comparison of pruning algorithms for sparse least squares support vector machines
-
L. Hoegaerts, J.A.K. Suykens, J. Vandewalle, and B. De Moor, "A comparison of pruning algorithms for sparse least squares support vector machines," Lecture Notes in Computer Science, pp. 1247-1253, 2004.
-
(2004)
Lecture Notes in Computer Science
, pp. 1247-1253
-
-
Hoegaerts, L.1
Suykens, J.A.K.2
Vandewalle, J.3
De Moor, B.4
-
9
-
-
13844256702
-
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation
-
Jan.
-
G.-B. Huang, P. Saratchandran, and N. Sundararajan, "A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation," IEEE Transactions on Neural Networks, vol. 16, no. 1, pp. 57-67, Jan. 2005.
-
(2005)
IEEE Transactions on Neural Networks
, vol.16
, Issue.1
, pp. 57-67
-
-
Huang, G.-B.1
Saratchandran, P.2
Sundararajan, N.3
-
10
-
-
55249109544
-
The forgetron: A kernel-based perceptron on a budget
-
O. Dekel, S. Shalev-Shwartz, and Y. Singer, "The forgetron: A kernel-based perceptron on a budget," SIAM Journal on Computing, vol. 37, no. 5, pp. 1342-1372, 2008.
-
(2008)
SIAM Journal on Computing
, vol.37
, Issue.5
, pp. 1342-1372
-
-
Dekel, O.1
Shalev-Shwartz, S.2
Singer, Y.3
-
11
-
-
3543110224
-
Online learning with kernels
-
Aug.
-
J. Kivinen, A.J. Smola, and R.C. Williamson, "Online learning with kernels," IEEE Transactions on Signal Processing, vol. 52, no. 8, pp. 2165-2176, Aug. 2004.
-
(2004)
IEEE Transactions on Signal Processing
, vol.52
, Issue.8
, pp. 2165-2176
-
-
Kivinen, J.1
Smola, A.J.2
Williamson, R.C.3
-
12
-
-
33947702137
-
A sliding-window kernel RLS algorithm and its application to nonlinear channel identification
-
S. Van Vaerenbergh, J. Vía, and I. Santamaría, "A sliding-window kernel RLS algorithm and its application to nonlinear channel identification," in IEEE Int. Conf. on Acoustics, Speech, and Sig. Proc. (ICASSP), Toulouse, France, May 2006.
-
IEEE Int. Conf. on Acoustics, Speech, and Sig. Proc. (ICASSP), Toulouse, France, May 2006
-
-
Van Vaerenbergh, S.1
Vía, J.2
Santamaría, I.3
-
13
-
-
43949083885
-
Nonlinear system identification using a new sliding-window kernel RLS algorithm
-
May
-
S. Van Vaerenbergh, J. Vía, and I. Santamaría, "Nonlinear system identification using a new sliding-window kernel RLS algorithm," Journal of Comm., vol. 2, no. 3, pp. 1-8, May 2007.
-
(2007)
Journal of Comm.
, vol.2
, Issue.3
, pp. 1-8
-
-
Van Vaerenbergh, S.1
Vía, J.2
Santamaría, I.3
-
15
-
-
84888754031
-
-
Wiley New York, in press
-
J. C. Príncipe, W. Liu, and S. Haykin, Kernel Adaptive Filtering: A Comprehensive Introduction, Wiley New York, 2010, in press.
-
(2010)
Kernel Adaptive Filtering: A Comprehensive Introduction
-
-
Príncipe, J.C.1
Liu, W.2
Haykin, S.3
|