-
2
-
-
0035181296
-
Optimal control by least squares support vector machines
-
Jan
-
J. A. K. Suykens, J. Vandewalle, and B. D. Moor, "Optimal control by least squares support vector machines," Neural Netw., vol. 14, no. 1, pp. 23-25, Jan. 2001.
-
(2001)
Neural Netw
, vol.14
, Issue.1
, pp. 23-25
-
-
Suykens, J.A.K.1
Vandewalle, J.2
Moor, B.D.3
-
3
-
-
0000742095
-
Nonlinear prediction of chaotic time series using a support vector machine
-
S. Mukherjee, E. Osuna, and F. Girosi, "Nonlinear prediction of chaotic time series using a support vector machine," in Proc. NNSP, 1997, pp. 24-26.
-
(1997)
Proc. NNSP
, pp. 24-26
-
-
Mukherjee, S.1
Osuna, E.2
Girosi, F.3
-
4
-
-
0001023715
-
Application of support vector machines in financial time series forecasting
-
Aug
-
F. E. H. Tay and L. Cao, "Application of support vector machines in financial time series forecasting," Omega, vol. 29, no. 4, pp. 309-317, Aug. 2001.
-
(2001)
Omega
, vol.29
, Issue.4
, pp. 309-317
-
-
Tay, F.E.H.1
Cao, L.2
-
5
-
-
0041589566
-
Support vector interval regression networks for interval regression analysis
-
Sep
-
J. T. Jeng, C. C. Chuang, and S. F. Su, "Support vector interval regression networks for interval regression analysis," Fuzzy Set Syst., vol. 138, no. 2, pp. 283-300, Sep. 2003.
-
(2003)
Fuzzy Set Syst
, vol.138
, Issue.2
, pp. 283-300
-
-
Jeng, J.T.1
Chuang, C.C.2
Su, S.F.3
-
6
-
-
3142685488
-
Selection of initial structures with support vector regression for fuzzy neural networks
-
C. C. Chuang and J. T. Jeng, "Selection of initial structures with support vector regression for fuzzy neural networks," Int. J. Fuzzy Syst., vol. 6, no. 2, pp. 63-70, 2004.
-
(2004)
Int. J. Fuzzy Syst
, vol.6
, Issue.2
, pp. 63-70
-
-
Chuang, C.C.1
Jeng, J.T.2
-
7
-
-
0742289150
-
Annealing robust radial basis function networks for function approximation with outliers
-
Jan
-
C. C. Chuang, J. T. Jeng, and S. F. Su, "Annealing robust radial basis function networks for function approximation with outliers," Neurocomputing, vol. 56, pp. 123-139, Jan. 2004.
-
(2004)
Neurocomputing
, vol.56
, pp. 123-139
-
-
Chuang, C.C.1
Jeng, J.T.2
Su, S.F.3
-
8
-
-
7544223962
-
Local machine learning models for spatial data analysis
-
N. Gilardi and S. Bengio, "Local machine learning models for spatial data analysis," J. Geograph. Inf. Decis. Anal., vol. 4, no. 1, pp. 11-28, 2003.
-
(2003)
J. Geograph. Inf. Decis. Anal
, vol.4
, Issue.1
, pp. 11-28
-
-
Gilardi, N.1
Bengio, S.2
-
9
-
-
33747180475
-
Predicting time series with a local support vector regression machine
-
Online, Available
-
R. Fernandez, "Predicting time series with a local support vector regression machine," in Proc. ACAI, 1999, [Online]. Available: http://www.iit.demokritos.gr/skel/eetn/acai99/
-
(1999)
Proc. ACAI
-
-
Fernandez, R.1
-
10
-
-
0000876414
-
Local learning algorithms
-
Nov
-
L. Bottou and V. Vapnik, "Local learning algorithms," Neural Comput., vol. 4, no. 6, pp. 888-900, Nov. 1992.
-
(1992)
Neural Comput
, vol.4
, Issue.6
, pp. 888-900
-
-
Bottou, L.1
Vapnik, V.2
-
11
-
-
0031073475
-
Locally weighted learning for control
-
Feb
-
C. G. Atkeson, A. W. Moore, and S. Schaal, "Locally weighted learning for control," Artif. Intell. Rev., vol. 11, no. 1-5, pp. 75-113, Feb. 1997.
-
(1997)
Artif. Intell. Rev
, vol.11
, Issue.1-5
, pp. 75-113
-
-
Atkeson, C.G.1
Moore, A.W.2
Schaal, S.3
-
14
-
-
1542333735
-
Support vector learning mechanism for fuzzy rule-based modeling: A new approach
-
Feb
-
J. H. Chiang and P. Y. Hao, "Support vector learning mechanism for fuzzy rule-based modeling: A new approach," IEEE Trans. Fuzzy Syst. vol. 12, no. 1, pp. 1-12, Feb. 2004.
-
(2004)
IEEE Trans. Fuzzy Syst
, vol.12
, Issue.1
, pp. 1-12
-
-
Chiang, J.H.1
Hao, P.Y.2
-
15
-
-
10744222140
-
ε-insensitive fuzzy c-regression models: Introduction to ε-insensitive fuzzy modeling
-
Feb
-
J. M. Leski, "ε-insensitive fuzzy c-regression models: Introduction to ε-insensitive fuzzy modeling," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 34, no. 1, pp. 4-115, Feb. 2004.
-
(2004)
IEEE Trans. Syst., Man, Cybern. B, Cybern
, vol.34
, Issue.1
, pp. 4-115
-
-
Leski, J.M.1
-
16
-
-
33750602201
-
Fuzzy support vector machines with automatic membership setting
-
L. Wang, Ed. Berlin, Germany: Springer-Verlag
-
C.-F. Lin and S. de Wang, "Fuzzy support vector machines with automatic membership setting," in Support Vector Machines: Training and Applications, L. Wang, Ed. Berlin, Germany: Springer-Verlag, 2005.
-
(2005)
Support Vector Machines: Training and Applications
-
-
Lin, C.-F.1
de Wang, S.2
-
17
-
-
10344230931
-
Fast and robust learning through fuzzy linear proximal support vector machines
-
Jayadeva, R. Khemchandani, and S. Chandra, "Fast and robust learning through fuzzy linear proximal support vector machines," Neurocomputing, vol. 61, pp. 401-411, 2004.
-
(2004)
Neurocomputing
, vol.61
, pp. 401-411
-
-
Jayadeva, R.K.1
Chandra, S.2
-
18
-
-
0036505650
-
Fuzzy support vector machines
-
Mar
-
C.-F. Lin and S. de Wang, "Fuzzy support vector machines," IEEE Trans. Neural Netw., vol. 13, no. 2, pp. 464-471, Mar. 2002.
-
(2002)
IEEE Trans. Neural Netw
, vol.13
, Issue.2
, pp. 464-471
-
-
Lin, C.-F.1
de Wang, S.2
-
19
-
-
0031078753
-
On cluster-wise fuzzy regression analysis
-
Feb
-
M.-S. Yang and C.-H. Ko, "On cluster-wise fuzzy regression analysis," IEEE Trans. Syst., Man Cybern. B, Cybern., vol. 27, no. 1, pp. 1-13, Feb. 1997.
-
(1997)
IEEE Trans. Syst., Man Cybern. B, Cybern
, vol.27
, Issue.1
, pp. 1-13
-
-
Yang, M.-S.1
Ko, C.-H.2
-
20
-
-
24144456139
-
A genetic algorithm for solving the inverse problem of support vector machines
-
X.-Z. Wang, Q. He, D.-G. Chen, and D. Yeung, "A genetic algorithm for solving the inverse problem of support vector machines," Neurocomputing, vol. 68, pp. 225-238, 2005.
-
(2005)
Neurocomputing
, vol.68
, pp. 225-238
-
-
Wang, X.-Z.1
He, Q.2
Chen, D.-G.3
Yeung, D.4
-
21
-
-
33745774351
-
A parallel genetic algorithm for solving the inverse problem of support vector machine
-
New York: Springer-Verlag
-
Q. He, X. Wang, J. Chen, and L. Yan, "A parallel genetic algorithm for solving the inverse problem of support vector machine," Lecture Notes in Computer Science, vol. 3930, New York: Springer-Verlag, 2005, pp. 871-879.
-
(2005)
Lecture Notes in Computer Science
, vol.3930
, pp. 871-879
-
-
He, Q.1
Wang, X.2
Chen, J.3
Yan, L.4
-
22
-
-
33745788811
-
A method to construct the mapping to the feature space for the dot product kernels
-
New York: Springer-Verlag
-
D. Chen, Q. He, C. Dong, and X. Wang, "A method to construct the mapping to the feature space for the dot product kernels," Lecture Notes in Computer Science, vol. 3930, New York: Springer-Verlag, 2005, pp. 918-929.
-
(2005)
Lecture Notes in Computer Science
, vol.3930
, pp. 918-929
-
-
Chen, D.1
He, Q.2
Dong, C.3
Wang, X.4
-
23
-
-
0036583160
-
A parallel mixture of SVMs for very large scale problems
-
C. Ronan, B. Samy, and B. Yoshua, "A parallel mixture of SVMs for very large scale problems," Neural Comput., vol. 14, no. 5, pp. 1105-1114, 2002.
-
(2002)
Neural Comput
, vol.14
, Issue.5
, pp. 1105-1114
-
-
Ronan, C.1
Samy, B.2
Yoshua, B.3
-
24
-
-
34249041569
-
-
A. J. Smola and B. Schölkopf, A tutorial on support vector regression, Royal Holloway College, Surrey, U.K., Neuro COLT Tech. Rep. TR-1998-030.
-
A. J. Smola and B. Schölkopf, "A tutorial on support vector regression," Royal Holloway College, Surrey, U.K., Neuro COLT Tech. Rep. TR-1998-030.
-
-
-
-
25
-
-
0000913324
-
SVRTorch: Support vector machines for large-scale regression problems
-
Sep
-
C. Ronan and B. Samy, "SVRTorch: Support vector machines for large-scale regression problems," J. Mach. Learn. Res., vol. 1, pp. 143-160, Sep. 2001.
-
(2001)
J. Mach. Learn. Res
, vol.1
, pp. 143-160
-
-
Ronan, C.1
Samy, B.2
-
26
-
-
0346250790
-
Practical selection of SVM parameters and noise estimation for SVM regression
-
Jan
-
V. Cherkarsky and Y. Ma, "Practical selection of SVM parameters and noise estimation for SVM regression," Neural Netw., vol. 17, no. 1, pp. 113-126, Jan. 2004.
-
(2004)
Neural Netw
, vol.17
, Issue.1
, pp. 113-126
-
-
Cherkarsky, V.1
Ma, Y.2
-
27
-
-
0036856978
-
Robust support vector regression networks for function approximation with outliers
-
Nov
-
C. C. Chuang, S. F. Su, J. T. Jeng, and C. C. Hsiao, "Robust support vector regression networks for function approximation with outliers," IEEE Trans. Neural Netw., vol. 13, no. 6, pp. 1322-1330, Nov. 2002.
-
(2002)
IEEE Trans. Neural Netw
, vol.13
, Issue.6
, pp. 1322-1330
-
-
Chuang, C.C.1
Su, S.F.2
Jeng, J.T.3
Hsiao, C.C.4
-
28
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Jun
-
C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining Knowl. Discovery, vol. 2, no. 2, pp. 1-43, Jun. 1998.
-
(1998)
Data Mining Knowl. Discovery
, vol.2
, Issue.2
, pp. 1-43
-
-
Burges, C.J.C.1
-
30
-
-
34249040913
-
-
Available
-
[Online]. Available: http://www-personal.buseco.monash.edu.au/~hyndman/ TSDL/Chemistry
-
-
-
-
31
-
-
34249050803
-
-
Available
-
[Online]. Available: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/ datasets/abalone
-
-
-
|