-
2
-
-
34249753618
-
Support vector networks
-
Cortes Corinna, Vapnik Vladimir Support vector networks. Mach. Learn. 1995, 20(3):273-297.
-
(1995)
Mach. Learn.
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
3
-
-
0032638628
-
Least squares support vector machine classifiers
-
Suykens J.A.K., Vandewalle J. Least squares support vector machine classifiers. Neural Process. Lett. 1999, 9(3):293-300.
-
(1999)
Neural Process. Lett.
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
4
-
-
0035789613
-
Proximal support vector machine classifiers
-
The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, USA
-
Glenn Fung, Olvi L. Mangasarian, Proximal support vector machine classifiers, in: The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, USA, 2001, pp. 77-86.
-
(2001)
, pp. 77-86
-
-
Fung, G.1
Mangasarian, O.L.2
-
5
-
-
44649099490
-
Extreme support vector machine classifier
-
Advances in Knowledge Discovery and Data Mining, Lecture Notes in Computer Science
-
Qiuge Liu, Qing He, Zhongzhi Shi, Extreme support vector machine classifier, in: Advances in Knowledge Discovery and Data Mining, Lecture Notes in Computer Science, vol. 5012, 2008, pp. 222-233.
-
(2008)
, vol.5012
, pp. 222-233
-
-
Liu, Q.1
He, Q.2
Shi, Z.3
-
6
-
-
33745903481
-
Extreme learning machine: theory and applications
-
Huang G.-B., Zhu Q.-Y., Siew C.-K. Extreme learning machine: theory and applications. Neurocomputing 2006, 70(1-3):489-501.
-
(2006)
Neurocomputing
, vol.70
, Issue.1-3
, pp. 489-501
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
7
-
-
13844256702
-
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation
-
Huang G.-B., Saratchandran P., Sundararajan N. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation. IEEE Trans. Neural Networks 2005, 16(1):57-67.
-
(2005)
IEEE Trans. Neural Networks
, vol.16
, Issue.1
, pp. 57-67
-
-
Huang, G.-B.1
Saratchandran, P.2
Sundararajan, N.3
-
8
-
-
34047174077
-
A fast and accurate on-line sequential learning algorithm for feedforward networks
-
Liang Nan-Ying, Huang Guang-Bin, Saratchandran P., Sundararajan N. A fast and accurate on-line sequential learning algorithm for feedforward networks. IEEE Trans. Neural Networks 2006, 17(6):1411-1423.
-
(2006)
IEEE Trans. Neural Networks
, vol.17
, Issue.6
, pp. 1411-1423
-
-
Liang, N.-Y.1
Huang, G.-B.2
Saratchandran, P.3
Sundararajan, N.4
-
9
-
-
40649092697
-
Incremental learning with support vector machines
-
Proceedings of the Workshop on Support Vector Machines at the International Joint Conference on Artificial Intelligence (IJCAI-99), Stockholm, Sweden
-
N. Syed, H. Liu, K. Sung. Incremental learning with support vector machines, in: Proceedings of the Workshop on Support Vector Machines at the International Joint Conference on Artificial Intelligence (IJCAI-99), Stockholm, Sweden, 1999.
-
(1999)
-
-
Syed, N.1
Liu, H.2
Sung, K.3
-
10
-
-
78149303576
-
Incremental learning with support vector machines
-
Proceedings of the IEEE International Conference on Data Mining
-
S. Ruping, Incremental learning with support vector machines, in: Proceedings of the IEEE International Conference on Data Mining, 2001, pp. 641-642.
-
(2001)
, pp. 641-642
-
-
Ruping, S.1
-
11
-
-
33645018466
-
Fixed-size least squares support vector machines: a large scale application in electrical load forecasting
-
Espinoza M., Suykens J.A.K., De Moor B. Fixed-size least squares support vector machines: a large scale application in electrical load forecasting. Comput. Manage. Sci.-Spec. Issue Support Vector Mach. 2006, 3(2):113-129.
-
(2006)
Comput. Manage. Sci.-Spec. Issue Support Vector Mach.
, vol.3
, Issue.2
, pp. 113-129
-
-
Espinoza, M.1
Suykens, J.A.K.2
De Moor, B.3
-
12
-
-
80051586560
-
A parallel incremental extreme SVM classifier
-
He Qing, Du Changying, Wang Qun, Zhuang Fuzhen, Shi Zhongzhi A parallel incremental extreme SVM classifier. Neurocomputing 2011, 74:2532-2540.
-
(2011)
Neurocomputing
, vol.74
, pp. 2532-2540
-
-
He, Q.1
Du, C.2
Wang, Q.3
Zhuang, F.4
Shi, Z.5
-
13
-
-
84862177237
-
Online sequential learning based on enhanced extreme learning machine using left or right pseudo-inverse
-
Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, ICPRAM
-
Weiwei Zong, Yuan Lan, Guang-Bin Huang, Online sequential learning based on enhanced extreme learning machine using left or right pseudo-inverse, in: Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, ICPRAM, vol. 1, 2012, pp. 300-305.
-
(2012)
, vol.1
, pp. 300-305
-
-
Zong, W.1
Lan, Y.2
Huang, G.-B.3
-
14
-
-
84887012141
-
Using SVMs with randomised feature spaces: an extreme learning approach
-
Proceedings of the 18th ESANN, Bruges, Belgium, April 28-30
-
B. Frnay, M. Verleysen, Using SVMs with randomised feature spaces: an extreme learning approach, in: Proceedings of the 18th ESANN, Bruges, Belgium, April 28-30, 2010, pp. 315-320.
-
(2010)
, pp. 315-320
-
-
Frnay, B.1
Verleysen, M.2
-
15
-
-
84865764547
-
Extreme learning machine for regression and multiclass classification
-
Huang G.-B., Zhou H., Ding X., Zhang R. Extreme learning machine for regression and multiclass classification. IEEE Trans. Syst. Man Cybern., Part B: Cybern. 2011, 1(99):1-17.
-
(2011)
IEEE Trans. Syst. Man Cybern., Part B: Cybern.
, vol.1
, Issue.99
, pp. 1-17
-
-
Huang, G.-B.1
Zhou, H.2
Ding, X.3
Zhang, R.4
-
16
-
-
0024682770
-
Updating the inverse of a matrix
-
Hager William W. Updating the inverse of a matrix. SIAM Rev. 1989, 31(2):221-239.
-
(1989)
SIAM Rev.
, vol.31
, Issue.2
, pp. 221-239
-
-
Hager, W.W.1
-
19
-
-
84893662403
-
-
〈http://archive.ics.uci.edu/ml/〉
-
-
-
-
20
-
-
84893681867
-
-
〈http://www.esat.kuleuven.be/sista/lssvmlab/〉
-
-
-
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