-
1
-
-
79958810411
-
Recursive projection twin support vector machine via within-class variance minimization
-
X. Chen, J. Yang, Q. Ye, J. Liang, Recursive projection twin support vector machine via within-class variance minimization, Pattern Recognition 44 (2011) 2643-2655.
-
(2011)
Pattern Recognition
, vol.44
, pp. 2643-2655
-
-
Chen, X.1
Yang, J.2
Ye, Q.3
Liang, J.4
-
2
-
-
84898984811
-
A geometric interpretation of m-SVM classifiers
-
S. Solla, T. Leen, K.-R. Muller (Eds.)
-
D.J. Crisp, C.J.C. Burges, A geometric interpretation of m-SVM classifiers, in: S. Solla, T. Leen, K.-R. Muller (Eds.), Advances in Neural Information Processing Systems, vol. 12, 2000, pp. 244-250.
-
(2000)
Advances in Neural Information Processing Systems
, vol.12
, pp. 244-250
-
-
Crisp, D.J.1
Burges, C.J.C.2
-
3
-
-
57749189368
-
Nonparallel plane proximal classifier
-
S. Ghorai, A. Mukherjee, P.K. Dutta, Nonparallel plane proximal classifier, Signal Processing 89 (4) (2009) 510-522.
-
(2009)
Signal Processing
, vol.89
, Issue.4
, pp. 510-522
-
-
Ghorai, S.1
Mukherjee, A.2
Dutta, P.K.3
-
4
-
-
0002274728
-
An iterative procedure for computing the minimum of a quadratic form on a convex set
-
E.G. Gilbert, An iterative procedure for computing the minimum of a quadratic form on a convex set, SIAM Journal on Control 4 (1) (1966) 61-79.
-
(1966)
SIAM Journal on Control
, vol.4
, Issue.1
, pp. 61-79
-
-
Gilbert, E.G.1
-
5
-
-
79952929457
-
Separating theorem of samples in Banach space for support vector machine learning
-
Q. He, C. Wu, Separating theorem of samples in Banach space for support vector machine learning, International Journal of Machine Learning and Cybernetics 2 (1) (2011) 49-54.
-
(2011)
International Journal of Machine Learning and Cybernetics
, vol.2
, Issue.1
, pp. 49-54
-
-
He, Q.1
Wu, C.2
-
6
-
-
0036505670
-
A comparison of methods for multiclass support vector machines
-
C.W. Hsu, C.J. Lin, A comparison of methods for multiclass support vector machines, IEEE Transactions on Neural Networks 13 (2002) 415-425.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, pp. 415-425
-
-
Hsu, C.W.1
Lin, C.J.2
-
8
-
-
48649097170
-
Application of smoothing technique on twin support vector machines
-
M.A. Kumar, M. Gopal, Application of smoothing technique on twin support vector machines, Pattern Recognition Letter 29 (13) (2008) 1842-1848.
-
(2008)
Pattern Recognition Letter
, vol.29
, Issue.13
, pp. 1842-1848
-
-
Kumar, M.A.1
Gopal, M.2
-
9
-
-
60249095678
-
Least squares twin support vector machines for pattern classification
-
M.A. Kumar, M. Gopal, Least squares twin support vector machines for pattern classification, Expert Systems with Applications 36 (4) (2009) 7535-7543.
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.4
, pp. 7535-7543
-
-
Kumar, M.A.1
Gopal, M.2
-
10
-
-
38649136929
-
Kernel class-wise locality preserving projection
-
J. Li, J. Pan, S. Chu, Kernel class-wise locality preserving projection, Information Sciences 178 (7) (2008) 1825-1835.
-
(2008)
Information Sciences
, vol.178
, Issue.7
, pp. 1825-1835
-
-
Li, J.1
Pan, J.2
Chu, S.3
-
11
-
-
79952937863
-
Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery
-
Z. Liu, Q.H. Wu, Y. Zhang, et al, Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery, International Journal of Machine Learning and Cybernetics 2 (1) (2011) 37-47.
-
(2011)
International Journal of Machine Learning and Cybernetics
, vol.2
, Issue.1
, pp. 37-47
-
-
Liu, Z.1
Wu, Q.H.2
Zhang, Y.3
-
14
-
-
33646516358
-
A geometric approach to support vector machine (SVM) classification
-
M.E. Mavroforakis, S. Theodoridis, A geometric approach to support vector machine (SVM) classification, IEEE Transactions on Neural Networks 17 (3) (2007) 671-682.
-
(2007)
IEEE Transactions on Neural Networks
, vol.17
, Issue.3
, pp. 671-682
-
-
Mavroforakis, M.E.1
Theodoridis, S.2
-
16
-
-
76849100708
-
TSVR: An efficient twin support vector machine for regression
-
X. Peng, TSVR: an efficient twin support vector machine for regression, Neural Networks 23 (3) (2010) 365-372.
-
(2010)
Neural Networks
, vol.23
, Issue.3
, pp. 365-372
-
-
Peng, X.1
-
17
-
-
77957841364
-
Least squares twin support vector hypersphere (LS-TSVH) for pattern recognition
-
X. Peng, Least squares twin support vector hypersphere (LS-TSVH) for pattern recognition, Expert Systems with Applications 37 (12) (2010) 8371-8378.
-
(2010)
Expert Systems with Applications
, vol.37
, Issue.12
, pp. 8371-8378
-
-
Peng, X.1
-
18
-
-
77958154093
-
A m-twin support vector machine (m-TSVM) classifier and its geometric approaches
-
X. Peng, A m-twin support vector machine (m-TSVM) classifier and its geometric approaches, Information Sciences 180 (15) (2010) 3863-3875.
-
(2010)
Information Sciences
, vol.180
, Issue.15
, pp. 3863-3875
-
-
Peng, X.1
-
19
-
-
80055055460
-
Building sparse twin support vector machine classifiers in primal space
-
X. Peng, Building sparse twin support vector machine classifiers in primal space, Information Sciences 181 (18) (2011) 3967-3980.
-
(2011)
Information Sciences
, vol.181
, Issue.18
, pp. 3967-3980
-
-
Peng, X.1
-
20
-
-
79958843215
-
TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition
-
X. Peng, TPMSVM: a novel twin parametric-margin support vector machine for pattern recognition, Pattern Recognition 44 (10-11) (2011) 2678-2692.
-
(2011)
Pattern Recognition
, vol.44
, Issue.10-11
, pp. 2678-2692
-
-
Peng, X.1
-
21
-
-
83955162266
-
Efficient twin parametric insensitive support vector regression model
-
X. Peng, Efficient twin parametric insensitive support vector regression model, Neurocomputing 79 (2012) 26-38.
-
(2012)
Neurocomputing
, vol.79
, pp. 26-38
-
-
Peng, X.1
-
22
-
-
84860313267
-
Twin Mahalanobis distance-based support vector machines for pattern recognition
-
X. Peng, D. Xu, Twin Mahalanobis distance-based support vector machines for pattern recognition, Information Sciences 200 (2012) 22-37.
-
(2012)
Information Sciences
, vol.200
, pp. 22-37
-
-
Peng, X.1
Xu, D.2
-
23
-
-
0000487102
-
Estimating the support of a high-dimensional distribution
-
B. Schölkopf, J. Platt, J. Shawe-Taylor, A.J. Smola, R.C. Williamson, Estimating the support of a high-dimensional distribution, Neural Computation 13 (7) (2001) 1443-1471.
-
(2001)
Neural Computation
, vol.13
, Issue.7
, pp. 1443-1471
-
-
Schölkopf, B.1
Platt, J.2
Shawe-Taylor, J.3
Smola, A.J.4
Williamson, R.C.5
-
24
-
-
0033220728
-
Support vector domain description
-
D. Tax, R. Duin, Support vector domain description, Pattern Recognition Letter 20 (1999) 1191-1199.
-
(1999)
Pattern Recognition Letter
, vol.20
, pp. 1191-1199
-
-
Tax, D.1
Duin, R.2
-
25
-
-
0942266514
-
Support vector data description
-
D. Tax, R. Duin, Support vector data description, Machine Learning 54 (2004) 45-66.
-
(2004)
Machine Learning
, vol.54
, pp. 45-66
-
-
Tax, D.1
Duin, R.2
-
27
-
-
67149088596
-
Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy
-
X. Wang, C. Dong, Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy, IEEE Transactions on Fuzzy Systems 17 (3) (2009) 556-567.
-
(2009)
IEEE Transactions on Fuzzy Systems
, vol.17
, Issue.3
, pp. 556-567
-
-
Wang, X.1
Dong, C.2
-
29
-
-
43949111665
-
Fast fuzzy multi-category SVM based on support vector domain description
-
X. Wang, S. Lu, J. Zhai, Fast fuzzy multi-category SVM based on support vector domain description, International Journal of Pattern Recognition and Artificial Intelligences 22 (1) (2008) 109-120.
-
(2008)
International Journal of Pattern Recognition and Artificial Intelligences
, vol.22
, Issue.1
, pp. 109-120
-
-
Wang, X.1
Lu, S.2
Zhai, J.3
-
30
-
-
45649085354
-
Induction of multiple fuzzy decision trees based on rough set technique
-
X. Wang, J. Zhai, S. Lu, Induction of multiple fuzzy decision trees based on rough set technique, Information Sciences 178 (16) (2008) 3188-3202.
-
(2008)
Information Sciences
, vol.178
, Issue.16
, pp. 3188-3202
-
-
Wang, X.1
Zhai, J.2
Lu, S.3
-
31
-
-
84863293814
-
Multiple faults diagnosis in motion system based on SVM
-
J. Xiao, H. Wang, X. Yang, Z. Gao, Multiple faults diagnosis in motion system based on SVM, International Journal of Machine Learning and Cybernetics (2011), http://dx.doi.org/10.1007/s13042-011-0035-y.
-
(2011)
International Journal of Machine Learning and Cybernetics
-
-
Xiao, J.1
Wang, H.2
Yang, X.3
Gao, Z.4
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