-
4
-
-
75549091324
-
Bounded influence support vector regression for robust single-model estimation
-
Nov
-
F. Dufrenois, J. Colliez, and D. Hamad, "Bounded influence support vector regression for robust single-model estimation," IEEE Trans. Neural Netw., vol. 20, no. 11, pp. 1689-1706, Nov. 2009.
-
(2009)
IEEE Trans. Neural Netw
, vol.20
, Issue.11
, pp. 1689-1706
-
-
Dufrenois, F.1
Colliez, J.2
Hamad, D.3
-
5
-
-
2442593945
-
Active set support vector regression
-
Mar
-
D. Musicant and A. Feinberg, "Active set support vector regression," IEEE Trans. Neural Netw., vol. 15, no. 2, pp. 268-275, Mar. 2004.
-
(2004)
IEEE Trans. Neural Netw
, vol.15
, Issue.2
, pp. 268-275
-
-
Musicant, D.1
Feinberg, A.2
-
6
-
-
67649378823
-
Sparse Bayesian modeling with adaptive kernel learning
-
Jun
-
D. Tzikas, A. Likas, and N. Galatsanos, "Sparse Bayesian modeling with adaptive kernel learning," IEEE Trans. Neural Netw., vol. 20, no. 6, pp. 926-937, Jun. 2009.
-
(2009)
IEEE Trans. Neural Netw
, vol.20
, Issue.6
, pp. 926-937
-
-
Tzikas, D.1
Likas, A.2
Galatsanos, N.3
-
7
-
-
44349097636
-
Symmetric RBF classifier for nonlinear detection in multiple-antenna- aided systems
-
May
-
S. Chen, A. Wolfgang, C. Harris, and L. Hanzo, "Symmetric RBF classifier for nonlinear detection in multiple-antenna-aided systems," IEEE Trans. Neural Netw., vol. 19, no. 5, pp. 737-745, May 2008.
-
(2008)
IEEE Trans. Neural Netw
, vol.19
, Issue.5
, pp. 737-745
-
-
Chen, S.1
Wolfgang, A.2
Harris, C.3
Hanzo, L.4
-
8
-
-
85032751903
-
Kernel methods and their potential use in signal processing
-
May
-
F. Pérez-Cruz and O. Bousquet, "Kernel methods and their potential use in signal processing," IEEE Signal Process. Mag., vol. 21, no. 3, pp. 57-65, May 2004.
-
(2004)
IEEE Signal Process. Mag
, vol.21
, Issue.3
, pp. 57-65
-
-
Pérez-Cruz, F.1
Bousquet, O.2
-
9
-
-
5844297152
-
Theory of reproducing kernels
-
N. Aronszajn, "Theory of reproducing kernels," Trans. Amer. Math. Soc., vol. 68, no. 3, pp. 337-404, 1950.
-
(1950)
Trans. Amer. Math. Soc
, vol.68
, Issue.3
, pp. 337-404
-
-
Aronszajn, N.1
-
10
-
-
0000897328
-
The kernel adatron algorithm: A fast and simple learning procedure for support vector machines
-
T. Frieß, N. Cristianini, and C. Campbell, "The kernel adatron algorithm: A fast and simple learning procedure for support vector machines," in Proc. Int. Conf. Mach. Learn., 1998, pp. 188-196.
-
(1998)
Proc. Int. Conf. Mach. Learn
, pp. 188-196
-
-
Frieß, T.1
Cristianini, N.2
Campbell, C.3
-
11
-
-
3543110224
-
Online learning with kernels
-
Aug
-
J. Kivinen, A. J. Smola, and R. C. Williamson, "Online learning with kernels," IEEE Trans. Signal Process., vol. 52, no. 8, pp. 2165-2176, Aug. 2004.
-
(2004)
IEEE Trans. Signal Process
, vol.52
, Issue.8
, pp. 2165-2176
-
-
Kivinen, J.1
Smola, A.J.2
Williamson, R.C.3
-
12
-
-
0003238552
-
Incremental and decremental support vector machine learning
-
Cambridge, MA: MIT Press
-
G. Cauwenberghs and T. Poggio, "Incremental and decremental support vector machine learning," in Advances in Neural Information Processing Systems, vol. 13. Cambridge, MA: MIT Press, 2000, pp. 409-415.
-
(2000)
Advances in Neural Information Processing Systems
, vol.13
, pp. 409-415
-
-
Cauwenberghs, G.1
Poggio, T.2
-
13
-
-
33745777639
-
Incremental support vector learning: Analysis, implementation and applications
-
Dec
-
P. Laskov, C. Gehl, S. Krüger, and K.-R. Müller, "Incremental support vector learning: Analysis, implementation and applications," J. Mach. Learn. Res., vol. 7, pp. 1909-1936, Dec. 2006.
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 1909-1936
-
-
Laskov, P.1
Gehl, C.2
Krüger, S.3
Müller, K.-R.4
-
14
-
-
25444522689
-
Fast kernel classifiers with online and active learning
-
Sep
-
A. Bordes, S. Ertekin, J. Weston, and L. Bottou, "Fast kernel classifiers with online and active learning," J. Mach. Learn. Res., vol. 6, no. 9, pp. 1579-1619, Sep. 2005.
-
(2005)
J. Mach. Learn. Res
, vol.6
, Issue.9
, pp. 1579-1619
-
-
Bordes, A.1
Ertekin, S.2
Weston, J.3
Bottou, L.4
-
15
-
-
33745294113
-
Step size adaptation in reproducing kernel Hilbert space
-
Jun
-
S. Vishwanathan, N. Schraudolph, and A. Smola, "Step size adaptation in reproducing kernel Hilbert space," J. Mach. Learn. Res., vol. 7, pp. 1107-1133, Jun. 2006.
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 1107-1133
-
-
Vishwanathan, S.1
Schraudolph, N.2
Smola, A.3
-
16
-
-
0034323731
-
Support vector machine techniques for nonlinear equalization
-
Nov
-
D. J. Sebald and J. A. Bucklew, "Support vector machine techniques for nonlinear equalization," IEEE Trans. Signal Process., vol. 48, no. 11, pp. 3217-3226, Nov. 2000.
-
(2000)
IEEE Trans. Signal Process
, vol.48
, Issue.11
, pp. 3217-3226
-
-
Sebald, D.J.1
Bucklew, J.A.2
-
18
-
-
0003807773
-
-
3rd ed. Englewood Cliffs NJ: Prentice-Hall
-
S. Haykin, Adaptive Filter Theory, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.
-
(1996)
Adaptive Filter Theory
-
-
Haykin, S.1
-
20
-
-
3543096272
-
The kernel recursive least-squares algorithm
-
Aug
-
Y. Engel, S. Mannor, and R. Meir, "The kernel recursive least-squares algorithm," IEEE Trans. Signal Process., vol. 52, no. 8, pp. 2275-2285, Aug. 2004.
-
(2004)
IEEE Trans. Signal Process
, vol.52
, Issue.8
, pp. 2275-2285
-
-
Engel, Y.1
Mannor, S.2
Meir, R.3
-
21
-
-
85032752247
-
Efficient least squares adaptive algorithms for FIR transversal filtering
-
Jul
-
G.-O. Glentiis, K. Berberidis, and S. Theodoridis, "Efficient least squares adaptive algorithms for FIR transversal filtering," IEEE Signal Process. Mag., vol. 16, no. 4, pp. 13-41, Jul. 1999.
-
(1999)
IEEE Signal Process. Mag
, vol.16
, Issue.4
, pp. 13-41
-
-
Glentiis, G.-O.1
Berberidis, K.2
Theodoridis, S.3
-
22
-
-
46749118074
-
Online kernel-based classification using adaptive projection algorithms
-
Jul
-
K. Slavakis, S. Theodoridis, and I. Yamada, "Online kernel-based classification using adaptive projection algorithms," IEEE Trans. Signal Process., vol. 56, no. 7, pp. 2781-2796, Jul. 2008.
-
(2008)
IEEE Trans. Signal Process
, vol.56
, Issue.7
, pp. 2781-2796
-
-
Slavakis, K.1
Theodoridis, S.2
Yamada, I.3
-
23
-
-
45749106357
-
Sliding window generalized kernel affine projection algorithm using projection mappings
-
K. Slavakis and S. Theodoridis, "Sliding window generalized kernel affine projection algorithm using projection mappings," EURASIP J. Adv. Signal Process., vol. 2008, pp. 1-16, 2008.
-
(2008)
EURASIP J. Adv. Signal Process
, vol.2008
, pp. 1-16
-
-
Slavakis, K.1
Theodoridis, S.2
-
24
-
-
70450233513
-
Adaptive constrained learning in reproducing kernel Hilbert spaces: The robust beamforming case
-
Dec
-
K. Slavakis, S. Theodoridis, and I. Yamada, "Adaptive constrained learning in reproducing kernel Hilbert spaces: The robust beamforming case," IEEE Trans. Signal Process., vol. 57, no. 12, pp. 4744-4764, Dec. 2009.
-
(2009)
IEEE Trans. Signal Process
, vol.57
, Issue.12
, pp. 4744-4764
-
-
Slavakis, K.1
Theodoridis, S.2
Yamada, I.3
-
25
-
-
0036571426
-
An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques
-
May
-
I. Yamada, K. Slavakis, and K. Yamada, "An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques," IEEE Trans. Signal Process., vol. 50, no. 5, pp. 1091-1101, May 2002.
-
(2002)
IEEE Trans. Signal Process
, vol.50
, Issue.5
, pp. 1091-1101
-
-
Yamada, I.1
Slavakis, K.2
Yamada, K.3
-
26
-
-
4243078179
-
Adaptive projected subgradient method: A unified view for projection based adaptive algorithms
-
Aug
-
I. Yamada, "Adaptive projected subgradient method: A unified view for projection based adaptive algorithms," J. IEICE, vol. 86, no. 8, pp. 654-658, Aug. 2003.
-
(2003)
J. IEICE
, vol.86
, Issue.8
, pp. 654-658
-
-
Yamada, I.1
-
27
-
-
11144235357
-
Adaptive projected subgradient method for asymptotic minimization of sequence of nonnegative convex functions
-
I. Yamada and N. Ogura, "Adaptive projected subgradient method for asymptotic minimization of sequence of nonnegative convex functions," Numer. Funct. Anal. Optim., vol. 25, nos. 7-8, pp. 593-617, 2004.
-
(2004)
Numer. Funct. Anal. Optim
, vol.25
, Issue.7-8
, pp. 593-617
-
-
Yamada, I.1
Ogura, N.2
-
28
-
-
34547495662
-
The adaptive projected subgradient method over the fixed point set of strongly attracting nonexpansive mappings
-
K. Slavakis, I. Yamada, and N. Ogura, "The adaptive projected subgradient method over the fixed point set of strongly attracting nonexpansive mappings," Numer. Funct. Anal. Optim., vol. 27, nos. 7-8, pp. 905-930, 2006.
-
(2006)
Numer. Funct. Anal. Optim
, vol.27
, Issue.7-8
, pp. 905-930
-
-
Slavakis, K.1
Yamada, I.2
Ogura, N.3
-
30
-
-
85032752365
-
Adaptive learning in a world of projections: A unifying framework for linear and nonlinear classification and regression tasks
-
Jan.
-
S. Theodoridis, K. Slavakis, and I. Yamada, "Adaptive learning in a world of projections: A unifying framework for linear and nonlinear classification and regression tasks," IEEE Signal Process. Mag., vol. 28, no. 1, pp. 97-123, Jan. 2011.
-
(2011)
IEEE Signal Process. Mag
, vol.28
, Issue.1
, pp. 97-123
-
-
Theodoridis, S.1
Slavakis, K.2
Yamada, I.3
-
33
-
-
4143079337
-
Minimum variance linear receivers for multiaccess MIMO wireless systems with space-time block coding
-
Dec
-
S. Shahbazpanahi, M. Beheshti, A. Gershman, M. Gharavi-Alkhansari, and K. Wong, "Minimum variance linear receivers for multiaccess MIMO wireless systems with space-time block coding," IEEE Trans. Signal Process., vol. 52, no. 12, pp. 3306-3313, Dec. 2004.
-
(2004)
IEEE Trans. Signal Process
, vol.52
, Issue.12
, pp. 3306-3313
-
-
Shahbazpanahi, S.1
Beheshti, M.2
Gershman, A.3
Gharavi-Alkhansari, M.4
Wong, K.5
-
34
-
-
40749135005
-
Multiaccess interference suppression in orthogonal space-time block coded MIMO systems by adaptive projected subgradient method
-
Mar
-
R. Cavalcante and I. Yamada, "Multiaccess interference suppression in orthogonal space-time block coded MIMO systems by adaptive projected subgradient method," IEEE Trans. Signal Process., vol. 56, no. 3, pp. 1028-1042, Mar. 2008.
-
(2008)
IEEE Trans. Signal Process
, vol.56
, Issue.3
, pp. 1028-1042
-
-
Cavalcante, R.1
Yamada, I.2
-
35
-
-
77951892250
-
Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities
-
May
-
M. Chen, S. Ge, and B. How, "Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities," IEEE Trans. Neural Netw., vol. 21, no. 5, pp. 796-812, May 2010.
-
(2010)
IEEE Trans. Neural Netw
, vol.21
, Issue.5
, pp. 796-812
-
-
Chen, M.1
Ge, S.2
How, B.3
-
36
-
-
3543143021
-
SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems
-
Aug
-
M. Sánchez-Fernández, M. de Prado-Cumplido, J. Arenas-García, and F. Pérez-Cruz, "SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems," IEEE Trans. Signal Process., vol. 52, no. 8, pp. 2298-2307, Aug. 2004.
-
(2004)
IEEE Trans. Signal Process
, vol.52
, Issue.8
, pp. 2298-2307
-
-
Sánchez-Fernández, M.1
De Prado-Cumplido, M.2
Arenas-García, J.3
Pérez-Cruz, F.4
-
37
-
-
18444381761
-
Identification of MIMO Hammerstein models using least squares support vector machines
-
Jul
-
I. Goethals, K. Pelckmans, J. Suykens, and B. D. Moor, "Identification of MIMO Hammerstein models using least squares support vector machines," Automatica, vol. 41, no. 7, pp. 1263-1272, Jul. 2005.
-
(2005)
Automatica
, vol.41
, Issue.7
, pp. 1263-1272
-
-
Goethals, I.1
Pelckmans, K.2
Suykens, J.3
Moor, B.D.4
-
38
-
-
0032183752
-
A simple transmit diversity technique for wireless communications
-
Oct
-
S. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE J. Sel. Areas Commun., vol. 16, no. 8, pp. 1451-1458, Oct. 1998.
-
(1998)
IEEE J. Sel. Areas Commun
, vol.16
, Issue.8
, pp. 1451-1458
-
-
Alamouti, S.1
-
39
-
-
0032656952
-
Space-time block codes from orthogonal designs
-
Jul
-
V. Tarokh, H. Jafarkhani, and A. Calderbank, "Space-time block codes from orthogonal designs," IEEE Trans. Inf. Theory, vol. 45, no. 5, pp. 1456-1467, Jul. 1999.
-
(1999)
IEEE Trans. Inf. Theory
, vol.45
, Issue.5
, pp. 1456-1467
-
-
Tarokh, V.1
Jafarkhani, H.2
Calderbank, A.3
-
40
-
-
0027541192
-
The foundations of set theoretic estimation
-
Feb
-
P. L. Combettes, "The foundations of set theoretic estimation," Proc. IEEE, vol. 81, no. 2, pp. 182-208, Feb. 1993.
-
(1993)
Proc IEEE
, vol.81
, Issue.2
, pp. 182-208
-
-
Combettes, P.L.1
-
41
-
-
0015000439
-
Some results on Tchebycheffian spline functions
-
G. S. Kimeldorf and G. Wahba, "Some results on Tchebycheffian spline functions," J. Math. Anal. Appl., vol. 33, no. 1, pp. 82-95, 1971.
-
(1971)
J. Math. Anal. Appl
, vol.33
, Issue.1
, pp. 82-95
-
-
Kimeldorf, G.S.1
Wahba, G.2
-
43
-
-
0004267646
-
-
Princeton NJ: Princeton Univ Press
-
R. T. Rockafellar, Convex Analysis. Princeton, NJ: Princeton Univ. Press, 1970.
-
(1970)
Convex Analysis
-
-
Rockafellar, R.T.1
-
46
-
-
49849127729
-
Minimization of unsmooth functionals
-
B. T. Polyak, "Minimization of unsmooth functionals," USSR Comput. Math. Phys., vol. 9, no. 3, pp. 14-29, 1969.
-
(1969)
USSR Comput. Math. Phys
, vol.9
, Issue.3
, pp. 14-29
-
-
Polyak, B.T.1
-
47
-
-
0001336448
-
The method of successive projections for finding a common point of convex sets
-
L. M. Bregman, "The method of successive projections for finding a common point of convex sets," Soviet Math. Dokl., vol. 162, no. 3, pp. 688-692, 1965.
-
(1965)
Soviet Math. Dokl
, vol.162
, Issue.3
, pp. 688-692
-
-
Bregman, L.M.1
-
48
-
-
33845708830
-
The method of projections for finding the common point of convex sets
-
L. G. Gubin, B. T. Polyak, and E. V. Raik, "The method of projections for finding the common point of convex sets," USSR Comput. Math. Phys., vol. 7, no. 6, pp. 1-24, 1967.
-
(1967)
USSR Comput. Math. Phys
, vol.7
, Issue.6
, pp. 1-24
-
-
Gubin, L.G.1
Polyak, B.T.2
Raik, E.V.3
-
49
-
-
77950789961
-
Multi-domain adaptive learning based on feasibility splitting and adaptive projected subgradient method
-
Feb
-
M. Yukawa, K. Slavakis, and I. Yamada, "Multi-domain adaptive learning based on feasibility splitting and adaptive projected subgradient method," IEICE Trans. Fundam., vol. E93-A, no. 2, pp. 456-466, Feb. 2010.
-
(2010)
IEICE Trans. Fundam.
, vol.E93-A
, Issue.2
, pp. 456-466
-
-
Yukawa, M.1
Slavakis, K.2
Yamada, I.3
-
50
-
-
79951590814
-
Online sparse system identification and signal reconstruction using projections onto weighted-1 balls
-
Mar.
-
Y. Kopsinis, K. Slavakis, and S. Theodoridis, "Online sparse system identification and signal reconstruction using projections onto weighted-1 balls," IEEE Trans. Signal Process., vol. 59, no. 3, pp. 936-952, Mar. 2011.
-
(2011)
IEEE Trans. Signal Process
, vol.59
, Issue.3
, pp. 936-952
-
-
Kopsinis, Y.1
Slavakis, K.2
Theodoridis, S.3
-
51
-
-
0035351666
-
A weak-to-strong convergence principle for Fejér-monotone methods in Hilbert spaces
-
May
-
H. H. Bauschke and P. L. Combettes, "A weak-to-strong convergence principle for Fejér-monotone methods in Hilbert spaces," Math. Oper. Res., vol. 26, no. 2, pp. 248-264, May 2001.
-
(2001)
Math. Oper. Res
, vol.26
, Issue.2
, pp. 248-264
-
-
Bauschke, H.H.1
Combettes, P.L.2
|