-
1
-
-
51049096780
-
Kernel methods in machine learning
-
T. Hofmann, B. Schölkopf, and A. J. Smola, "Kernel methods in machine learning, " Ann. Statistics, vol. 36, no. 3, pp. 1171-1220, 2008.
-
(2008)
Ann. Statistics
, vol.36
, Issue.3
, pp. 1171-1220
-
-
Hofmann, T.1
Schölkopf, B.2
Smola, A.J.3
-
2
-
-
0003408420
-
-
Cambridge, MA: MIT Press
-
B. Schölkopf and A. J. Smola, Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. Cambridge, MA: MIT Press, 2002.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond
-
-
Schölkopf, B.1
Smola, A.J.2
-
5
-
-
4043137356
-
A tutorial on support vector regression
-
DOI 10.1023/B:STCO.0000035301.49549.88
-
A. J. Smola and B. Schölkopf, "A tutorial on support vector regression, " Statistics and Comput., vol. 14, pp. 199-222, 2004. (Pubitemid 39063488)
-
(2004)
Statistics and Computing
, vol.14
, Issue.3
, pp. 199-222
-
-
Smola, A.J.1
Scholkopf, B.2
-
6
-
-
33748488879
-
Robust identification of non-linear dynamic systems using support vector machine
-
DOI 10.1049/ip-smt:20050004
-
H. R. Zhang, X. D.Wang, C. J. Zhang, and X. S. Cai, "Robust identification of non-linear dynamic using support vector machine, " IEE Proc. Sci., Meas. Technol., vol. 153, no. 3, pp. 125-129, 2006. (Pubitemid 44356535)
-
(2006)
IEE Proceedings: Science, Measurement and Technology
, vol.153
, Issue.3
, pp. 125-129
-
-
Zhang, H.R.1
Wang, X.D.2
Zhang, C.J.3
Cai, X.S.4
-
7
-
-
0035311654
-
On the modelling of nonlinear dynamic systems using support vector neural networks
-
DOI 10.1016/S0952-1976(00)00069-5
-
W. C. Chan, C. W. Chan, K. C. Cheung, and C. J. Harris, "On the modeling of nonlinear dynamic systems using support vector neural networks, " Eng. Appl. Artif. Intell., vol. 14, pp. 105-113, 2001. (Pubitemid 32264640)
-
(2001)
Engineering Applications of Artificial Intelligence
, vol.14
, Issue.2
, pp. 105-113
-
-
Chan, W.C.1
Chan, C.W.2
Cheung, K.C.3
Harris, C.J.4
-
8
-
-
0035555821
-
Support vector regression for black-box system identification
-
A. Gretton, A. Doucet, R. Herbrich, P. J. W. Rayner, and B. Schölkopf, "Support vector regression for black-box system identification, " in Proc. 11th IEEE Workshop on Statistical Signal Process., 2001, pp. 341-344. (Pubitemid 34782235)
-
(2001)
IEEE Workshop on Statistical Signal Processing Proceedings
, pp. 341-344
-
-
Gretton, A.1
Doucet, A.2
Herbrich, R.3
Rayner, P.J.W.4
Scholkopf, B.5
-
9
-
-
0027699649
-
System identification using ARMA modeling and neural networks
-
B. R. Pramod and S. C. Bose, "System identification using ARMA modeling and neural networks, " J. Eng. Ind., vol. 115, pp. 487-491, 1993.
-
(1993)
J. Eng. Ind.
, vol.115
, pp. 487-491
-
-
Pramod, B.R.1
Bose, S.C.2
-
11
-
-
78049526829
-
Multikernel semiparametric linear programming support vector regression
-
Y. P. Zhao and J. G. Sun, "Multikernel semiparametric linear programming support vector regression, " Expert Systems With Applications, vol. 38, pp. 1611-1618, 2011.
-
(2011)
Expert Systems with Applications
, vol.38
, pp. 1611-1618
-
-
Zhao, Y.P.1
Sun, J.G.2
-
12
-
-
0036161035
-
Large scale kernel regression via linear programming
-
DOI 10.1023/A:1012422931930
-
O. L. Mangasarian and D. R. Musicant, "Large scale kernel regression via linear programming, " Mach. Learning, vol. 46, pp. 255-269, 2002. (Pubitemid 34129971)
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 255-269
-
-
Mangasarian, O.L.1
Musicant, D.R.2
-
13
-
-
0034859938
-
Support vector machines with different norms: Motivation, formulations and results
-
DOI 10.1016/S0167-8655(01)00071-X, PII S016786550100071X, Selected Papers from The 11th Portuguese Conference on Pattern Recognitition - RECPAD2000
-
J. P. Pedroso and N. Murata, "Support vector machines with different norms: Motivation, formulations and results, " Pattern Recognit. Lett., vol. 22, pp. 1263-1272, 2001. (Pubitemid 32784359)
-
(2001)
Pattern Recognition Letters
, vol.22
, Issue.12
, pp. 1263-1272
-
-
Pedroso, J.P.1
Murata, N.2
-
14
-
-
24644515558
-
1-norm support vector machines
-
J. Zhu, S. Rosset, T. Hasite, and R. Tibshirani, "1-norm support vector machines, " Neural Inform. Process. Syst., vol. 16, 2003.
-
(2003)
Neural Inform. Process. Syst.
, vol.16
-
-
Zhu, J.1
Rosset, S.2
Hasite, T.3
Tibshirani, R.4
-
15
-
-
12344336271
-
Support vector machine classification via parameterless robust linear programming
-
DOI 10.1080/10556780410001715117
-
O. L. Mangasarian, "Support vector machine classification via parameterless robust linear programming, " Optimization Methods and Software, vol. 20, pp. 115-125, 2005. (Pubitemid 40135985)
-
(2005)
Optimization Methods and Software
, vol.20
, Issue.1
, pp. 115-125
-
-
Mangasarian, O.L.1
-
16
-
-
53749102436
-
Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification
-
Z. Lu and J. Sun, "Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification, " Appl. Soft Comput., vol. 9, no. 1, pp. 94-99, 2009.
-
(2009)
Appl. Soft Comput.
, vol.9
, Issue.1
, pp. 94-99
-
-
Lu, Z.1
Sun, J.2
-
17
-
-
61449246384
-
Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification
-
Z. Lu, J. Sun, and K. Butts, "Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification, " Math. Comput. Simulation, vol. 79, no. 7, pp. 2051-2063, 2009.
-
(2009)
Math. Comput. Simulation
, vol.79
, Issue.7
, pp. 2051-2063
-
-
Lu, Z.1
Sun, J.2
Butts, K.3
-
18
-
-
34250167583
-
Modeling and control of internal combustion engines using intelligent techniques
-
DOI 10.1080/01969720701344293, PII 779410758
-
S. H. Lee, R. J. Howlett, S. D. Walters, and C. Crua, "Modeling and control of internal combustion engines using intelligent techniques, " Cybern. Syst., vol. 38, pp. 509-533, 2007. (Pubitemid 46904600)
-
(2007)
Cybernetics and Systems
, vol.38
, Issue.5-6
, pp. 509-533
-
-
Lee, S.H.1
Howlett, R.J.2
Walters, S.D.3
Crua, C.4
-
19
-
-
48749127818
-
Support vector regression from simulation data and few experimental samples
-
G. Bloch, F. Lauer, C. Guillaume, and C. Yann, "Support vector regression from simulation data and few experimental samples, " Inform. Sci., vol. 178, pp. 3813-3827, 2008.
-
(2008)
Inform. Sci.
, vol.178
, pp. 3813-3827
-
-
Bloch, G.1
Lauer, F.2
Guillaume, C.3
Yann, C.4
-
20
-
-
0032070054
-
Engine-mapping experiments: A two-stage regression approach
-
T. Holliday, A. J. Lawrance, and T. P. Davis, "Engine-mapping experiments: A two-stage regression approach, " Technometrics, vol. 40, no. 2, pp. 120-126, 2009.
-
(2009)
Technometrics
, vol.40
, Issue.2
, pp. 120-126
-
-
Holliday, T.1
Lawrance, A.J.2
Davis, T.P.3
-
21
-
-
34147187067
-
Support vector machines for nonlinear Kernel ARMA system identification
-
DOI 10.1109/TNN.2006.879767
-
M. Martinez-Ramon, J. L. Rojo-Álvarez, G. Camps-Valls, J. Muñoz-Marí, A. Artes-Rodriguez, and A. R. Figueiras-Vidal, "Support vector machines for nonlinear kernel ARMA system identification, " IEEE Trans. Neural Networks, vol. 17, no. 6, pp. 1617-1622, Nov. 2006. (Pubitemid 44824272)
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.6
, pp. 1617-1622
-
-
Martinez-Ramon, M.1
Rojo-Alvarez, J.L.2
Camps-Valls, G.3
Munoz-Mari, J.4
Navia-Vazquez, A.5
Soria-Olivas, E.6
Figueiras-Vidal, A.R.7
-
22
-
-
77951880080
-
Online chaotic time series prediction using unbiased composite kernel machine via Cholesky factorization
-
H.Wang, F. Sun, Y. Cai, and Z. Zhao, "Online chaotic time series prediction using unbiased composite kernel machine via Cholesky factorization, " Soft Comput., vol. 14, pp. 931-944, 2010.
-
(2010)
Soft Comput.
, vol.14
, pp. 931-944
-
-
Wang, H.1
Sun, F.2
Cai, Y.3
Zhao, Z.4
-
23
-
-
27644586449
-
Kernel based partially linear models and nonlinear identification
-
DOI 10.1109/TAC.2005.856656
-
M. Espinoze, J. A. K. Suykens, and B. De Moor, "Kernel based partially linear models and nonlinear identification, " IEEE Trans. Automatic Control, vol. 50, no. 10, pp. 1602-1606, Oct. 2005. (Pubitemid 41555608)
-
(2005)
IEEE Transactions on Automatic Control
, vol.50
, Issue.10
, pp. 1602-1606
-
-
Espinoza, M.1
Suykens, J.A.K.2
De Moor, B.3
-
24
-
-
77957810968
-
2K for dynamic engine modeling
-
Baltimore, MD, Jun. 30-Jul. 2
-
2K for dynamic engine modeling, " in Proc. Amer. Control Conf., Baltimore, MD, 2010, Jun. 30-Jul. 2.
-
(2010)
Proc. Amer. Control Conf.
-
-
Lu, Z.1
Sun, J.2
Butts, K.3
-
25
-
-
31144448472
-
Composite kernels for hyperspectral image classification
-
DOI 10.1109/LGRS.2005.857031
-
G. Camps-Valls, L. Gomez-Chova, J. Muñoz-Marí, J. Vila-Francés, and J. Calpe-Maravilla, "Composite kernel for hyperspectral image classification, " IEEE Geosci. Remote Sensing Lett., vol. 3, no. 1, pp. 93-97, Jan. 2006. (Pubitemid 43131904)
-
(2006)
IEEE Geoscience and Remote Sensing Letters
, vol.3
, Issue.1
, pp. 93-97
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Munoz-Mari, J.3
Vila-Frances, J.4
Calpe-Maravilla, J.5
-
26
-
-
0010451796
-
How to design a regularization term for improving generalization
-
Perth, Australia, Nov.
-
A. Nakashima and H. Ogawa, "How to design a regularization term for improving generalization, " in Proc. 6th Int. Conf. Neural Inform. Process., Perth, Australia, Nov. 1999, pp. 222-227.
-
(1999)
Proc. 6th Int. Conf. Neural Inform. Process
, pp. 222-227
-
-
Nakashima, A.1
Ogawa, H.2
-
27
-
-
0033339941
-
Linear programs for automatic accuracy control in regression
-
A. Smola, B. Schölkopf, and G. Rätsch, "Linear programs for automatic accuracy control in regression, " in Proc. 9th Int. Conf. Artif. Neural Networks, Berlin, Germany, 1999, pp. 575-580. (Pubitemid 30519829)
-
(1999)
IEE Conference Publication
, vol.2
, Issue.470
, pp. 575-580
-
-
Smola Alex1
Schoelkopf Bernhard2
Raetsch Gunnar3
-
29
-
-
33751583615
-
Automotive powertrain control-A survey
-
J. A. Cook, J. Sun, J. H. Buckland, I. V. Kolmanovsky, H. Peng, and J. W. Grizzle, "Automotive powertrain control-A survey, " Asian J. Control, vol. 8, pp. 237-260, 2006.
-
(2006)
Asian J. Control
, vol.8
, pp. 237-260
-
-
Cook, J.A.1
Sun, J.2
Buckland, J.H.3
Kolmanovsky, I.V.4
Peng, H.5
Grizzle, J.W.6
-
31
-
-
77957807082
-
Soft-constrained linear programming support vector regression for nonlinear black-box systems identification
-
D. Vrakas and I. Vlahavas, Eds. Hershey, PA: Information Science Reference Publishing, Feb.
-
Z. Lu and J. Sun, "Soft-constrained linear programming support vector regression for nonlinear black-box systems identification, " in Artificial Intelligence for Advanced Problem Solving Techniques, D. Vrakas and I. Vlahavas, Eds. Hershey, PA: Information Science Reference Publishing, Feb. 2008.
-
(2008)
Artificial Intelligence for Advanced Problem Solving Techniques
-
-
Lu, Z.1
Sun, J.2
-
32
-
-
85032751965
-
Compressive sensing
-
Jul.
-
R. G. Baraniuk, "Compressive sensing, " IEEE Signal Process. Mag., vol. 24, no. 4, pp. 118-121, Jul. 2007.
-
(2007)
IEEE Signal Process. Mag.
, vol.24
, Issue.4
, pp. 118-121
-
-
Baraniuk, R.G.1
-
33
-
-
33645712892
-
Compressed sensing
-
Apr.
-
D. L. Donoho, "Compressed sensing, " IEEE Trans. Inform. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
-
(2006)
IEEE Trans. Inform. Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.L.1
-
34
-
-
0003655702
-
Neural networks for identification of nonlinear systems: An overview
-
N. K. Sinha and M. M. Gupta, Eds. New York: Academic Press
-
P. Gupta and N. K. Sinha, "Neural networks for identification of nonlinear systems: An overview, " in Soft Computing and Intelligent Systems: Theory and Applications, N. K. Sinha and M. M. Gupta, Eds. New York: Academic Press, 1999.
-
(1999)
Soft Computing and Intelligent Systems: Theory and Applications
-
-
Gupta, P.1
Sinha, N.K.2
|