-
1
-
-
0032786569
-
Improving support vector machine classifiers by modifying kernel functions
-
S. Amari, and S. Wu Improving support vector machine classifiers by modifying kernel functions Neural Networks 12 1999 783 789
-
(1999)
Neural Networks
, vol.12
, pp. 783-789
-
-
Amari, S.1
Wu, S.2
-
3
-
-
0034296402
-
Generalized discriminant analysis using a kernel approach
-
G. Baudat, and F. Anouar Generalized discriminant analysis using a kernel approach Neural Comput. 12 10 2000 2385 2404
-
(2000)
Neural Comput.
, vol.12
, Issue.10
, pp. 2385-2404
-
-
Baudat, G.1
Anouar, F.2
-
5
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Pittsburgh, USA
-
B.E. Boser, I.M. Guyon, V. Vapnik, A training algorithm for optimal margin classifiers, in: Proc. 5th Annu. ACM Workshop on Computational Learning Theory, Pittsburgh, USA, 1992, pp. 144-152.
-
(1992)
Proc. 5th Annu. ACM Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.3
-
7
-
-
0742324888
-
An empirical risk functional to improve learning in a neuro-fuzzy classifier
-
G. Castellano, A.M. Fanelli, and C. Mencor An empirical risk functional to improve learning in a neuro-fuzzy classifier IEEE Trans. Systems, Man Cybernet. - Part B: Cybernet. 34 1 2004 725 730
-
(2004)
IEEE Trans. Systems, Man Cybernet. - Part B: Cybernet.
, vol.34
, Issue.1
, pp. 725-730
-
-
Castellano, G.1
Fanelli, A.M.2
Mencor, C.3
-
9
-
-
0038198693
-
Kernel machines and additive fuzzy systems: Classification and function approximation
-
St. Louis, MO
-
Y. Chen, J.Z. Wang, Kernel machines and additive fuzzy systems: classification and function approximation, in: Proc. IEEE Internat. Conf. on Fuzzy Systems, St. Louis, MO, 2003, pp.789-795.
-
(2003)
Proc. IEEE Internat. Conf. on Fuzzy Systems
, pp. 789-795
-
-
Chen, Y.1
Wang, J.Z.2
-
10
-
-
0346076782
-
Support vector learning for fuzzy rule-based classification systems
-
Y. Chen, and J.Z. Wang Support vector learning for fuzzy rule-based classification systems IEEE Trans. Fuzzy Systems 11 6 2003 716 728
-
(2003)
IEEE Trans. Fuzzy Systems
, vol.11
, Issue.6
, pp. 716-728
-
-
Chen, Y.1
Wang, J.Z.2
-
11
-
-
0000636549
-
A clustering algorithm for fuzzy model identification
-
J.-Q. Chen, Y.-G. Xi, and Z.-J. Zhang A clustering algorithm for fuzzy model identification Fuzzy Sets and Systems 98 1998 319 329
-
(1998)
Fuzzy Sets and Systems
, vol.98
, pp. 319-329
-
-
Chen, J.-Q.1
Xi, Y.-G.2
Zhang, Z.-J.3
-
12
-
-
0041877699
-
A new kernel-based fuzzy clustering approach: Support vector clustering with cell growing
-
J.-H. Chiang, and P.-Y. Hao A new kernel-based fuzzy clustering approach: support vector clustering with cell growing IEEE Trans. Fuzzy Systems 11 4 2003 518 527
-
(2003)
IEEE Trans. Fuzzy Systems
, vol.11
, Issue.4
, pp. 518-527
-
-
Chiang, J.-H.1
Hao, P.-Y.2
-
13
-
-
1542333735
-
Support vector learning mechanism for fuzzy rule-based modeling: A new approach
-
J.-H. Chiang, and P.-Y. Hao Support vector learning mechanism for fuzzy rule-based modeling: a new approach IEEE Trans. Fuzzy Systems 12 1 2004 1 12
-
(2004)
IEEE Trans. Fuzzy Systems
, vol.12
, Issue.1
, pp. 1-12
-
-
Chiang, J.-H.1
Hao, P.-Y.2
-
15
-
-
0035217390
-
On equivalence of approximate reasoning results using different interpretations of fuzzy if-then rules
-
E. Czogała, and J.M. Łski On equivalence of approximate reasoning results using different interpretations of fuzzy if-then rules Fuzzy Sets and Systems 117 2 2001 279 296
-
(2001)
Fuzzy Sets and Systems
, vol.117
, Issue.2
, pp. 279-296
-
-
Czogała, E.1
Łski, J.M.2
-
16
-
-
0036565280
-
Mercer Kernel-based clustering in feature space
-
M. Girolami Mercer Kernel-based clustering in feature space IEEE Trans. Neural Networks 13 3 2002 780 784
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, Issue.3
, pp. 780-784
-
-
Girolami, M.1
-
17
-
-
0042591514
-
Support vector fuzzy regression machines
-
D.H. Hong, and C. Hwang Support vector fuzzy regression machines Fuzzy Sets and Systems 138 2 2003 271 281
-
(2003)
Fuzzy Sets and Systems
, vol.138
, Issue.2
, pp. 271-281
-
-
Hong, D.H.1
Hwang, C.2
-
19
-
-
0041589566
-
Support vector interval regression networks for interval regression analysis
-
J.-T. Jeng, C.-C. Chuang, and S.-F. Su Support vector interval regression networks for interval regression analysis Fuzzy Sets and Systems 138 2 2003 283 300
-
(2003)
Fuzzy Sets and Systems
, vol.138
, Issue.2
, pp. 283-300
-
-
Jeng, J.-T.1
Chuang, C.-C.2
Su, S.-F.3
-
20
-
-
0031208215
-
A new approach to fuzzy modeling
-
E. Kim, M. Park, S. Ji, and M. Park A new approach to fuzzy modeling IEEE Trans. Fuzzy Systems 5 3 1997 328 337
-
(1997)
IEEE Trans. Fuzzy Systems
, vol.5
, Issue.3
, pp. 328-337
-
-
Kim, E.1
Park, M.2
Ji, S.3
Park, M.4
-
21
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
G.R.G. Lanckriet, N. Cristianini, P. Bartlett, L.E. Ghaoui, and M.I. Jordan Learning the kernel matrix with semidefinite programming J. Mach. Learning Res. 5 2004 27 72
-
(2004)
J. Mach. Learning Res.
, vol.5
, pp. 27-72
-
-
Lanckriet, G.R.G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.E.4
Jordan, M.I.5
-
23
-
-
0001034441
-
A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and its applications
-
J.M. Łski, and E. Czogała A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and its applications Fuzzy Sets and Systems 108 3 1999 289 297
-
(1999)
Fuzzy Sets and Systems
, vol.108
, Issue.3
, pp. 289-297
-
-
Łski, J.M.1
Czogała, E.2
-
24
-
-
0038141462
-
An ε -insensitive approach to fuzzy clustering
-
J.M. Łski An ε -insensitive approach to fuzzy clustering Internat. J. Appl. Math. Comput. Sci. 11 4 2001 993 1007
-
(2001)
Internat. J. Appl. Math. Comput. Sci.
, vol.11
, Issue.4
, pp. 993-1007
-
-
Łski, J.M.1
-
26
-
-
33746206970
-
ε -insensitive learning techniques for approximate reasoning systems (invited paper)
-
J.M. Łski ε -insensitive learning techniques for approximate reasoning systems (Invited Paper) Internat. J. Comput. Cognition 1 1 2002 21 77
-
(2002)
Internat. J. Comput. Cognition
, vol.1
, Issue.1
, pp. 21-77
-
-
Łski, J.M.1
-
27
-
-
0037534035
-
Towards a robust fuzzy clustering
-
J.M. Łski Towards a robust fuzzy clustering Fuzzy Sets and Systems 137 2 2003 215 233
-
(2003)
Fuzzy Sets and Systems
, vol.137
, Issue.2
, pp. 215-233
-
-
Łski, J.M.1
-
28
-
-
17944398986
-
Neuro-fuzzy system with learning tolerant to imprecision
-
J.M. Łski Neuro-fuzzy system with learning tolerant to imprecision Fuzzy Sets and Systems 138 2 2003 427 439
-
(2003)
Fuzzy Sets and Systems
, vol.138
, Issue.2
, pp. 427-439
-
-
Łski, J.M.1
-
29
-
-
10744222140
-
ε -insensitive fuzzy c -regression models: Introduction to ε -insensitive fuzzy modeling
-
J.M. Łski ε -insensitive fuzzy c -regression models: introduction to ε -insensitive fuzzy modeling IEEE Trans. Systems Man Cybernet. - Part B: Cybernet. 34 1 2004 4 15
-
(2004)
IEEE Trans. Systems Man Cybernet. - Part B: Cybernet.
, vol.34
, Issue.1
, pp. 4-15
-
-
Łski, J.M.1
-
31
-
-
0037276906
-
Nonlinear blind source separation using kernels
-
D. Martinez, and A. Bray Nonlinear blind source separation using kernels IEEE Trans. Neural Networks 14 1 2003 228 235
-
(2003)
IEEE Trans. Neural Networks
, vol.14
, Issue.1
, pp. 228-235
-
-
Martinez, D.1
Bray, A.2
-
32
-
-
0033337021
-
Fisher discriminant analysis with kernels
-
Y.H. Hu J. Larsen E. Wilson S. Douglas IEEE Press New York
-
S. Mika, G. Rätsch, J. Weston, B. Schölkopf, and K.-R. Müller Fisher discriminant analysis with kernels Y.H. Hu J. Larsen E. Wilson S. Douglas Neural Networks in Signal Processing IX 1999 IEEE Press New York 41 48
-
(1999)
Neural Networks in Signal Processing IX
, pp. 41-48
-
-
Mika, S.1
Rätsch, G.2
Weston, J.3
Schölkopf, B.4
Müller, K.-R.5
-
33
-
-
0021455631
-
An identification algorithm in fuzzy relational systems
-
W. Pedrycz An identification algorithm in fuzzy relational systems Fuzzy Sets and Systems 13 1984 153 167
-
(1984)
Fuzzy Sets and Systems
, vol.13
, pp. 153-167
-
-
Pedrycz, W.1
-
34
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Schölkopf, A.J. Smola, and K.-R. Müller Nonlinear component analysis as a kernel eigenvalue problem Neural Comput. 10 6 1998 1299 1319
-
(1998)
Neural Comput.
, vol.10
, Issue.6
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.J.2
Müller, K.-R.3
-
35
-
-
0034244959
-
Supervised fuzzy clustering for rule extraction
-
M. Setnes Supervised fuzzy clustering for rule extraction IEEE Trans. Fuzzy Systems 8 4 2000 416 424
-
(2000)
IEEE Trans. Fuzzy Systems
, vol.8
, Issue.4
, pp. 416-424
-
-
Setnes, M.1
-
36
-
-
45449126257
-
Structure identification of fuzzy model
-
M. Sugeno, and G.T. Kang Structure identification of fuzzy model Fuzzy Sets and Systems 28 1988 15 33
-
(1988)
Fuzzy Sets and Systems
, vol.28
, pp. 15-33
-
-
Sugeno, M.1
Kang, G.T.2
-
37
-
-
0037360871
-
A support vector machine formulation to PCA analysis and its kernel version
-
J.A.K. Suykens, T. Van Gestel, J. Vandewalle, and B. De Moor A support vector machine formulation to PCA analysis and its kernel version IEEE Trans. Neural Networks 14 2 2003 447 450
-
(2003)
IEEE Trans. Neural Networks
, vol.14
, Issue.2
, pp. 447-450
-
-
Suykens, J.A.K.1
Van Gestel, T.2
Vandewalle, J.3
De Moor, B.4
-
40
-
-
0032594959
-
An overview of statistical learning theory
-
V. Vapnik An overview of statistical learning theory IEEE Trans. Neural Networks 10 1999 988 999
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, pp. 988-999
-
-
Vapnik, V.1
|