International Journal of Applied Mathematics and Machine Learning[1] V. N. Vapnik, The Natural of Statistical Learning Theory,
Springer, New York, 1995.
[2] V. N. Vapnik, Statistical Learning Theory, Wiley, New York,
1998.
[3] C. J. C. Burges, A tutorial on support vector machines for pattern
recognition, Data Mining Knowledge Discovery 2(2) (1998), 121-167.
[4] V. Christianini and J. Shawe-Taylor, An Introduction to Support
Vector Machines, Cambridge University Press, Cambridge, 2002.
[5] E. Osuna, R. Freund and F. Girosi, Training support vector
machines: An application to face detection, in: Proceedings of IEEE
Computer Vision and Pattern Recognition, San Juan, Puerto Rico,
(1997), 130-136.
[6] T. Joachims, C. Ndellec and C. Rouveriol, Text categorization with
support vector machines: Learning with many relevant features, in:
European Conference on Machine Learning No. 10, Chemnitz, Germany,
(1998), 137-142.
[7] M. P. S. Brown, W. N. Grundy and D. Lin et al., Knowledge-based
analysis of microarray gene expression data by using support vector
machine, Proceedings of the National Academy of Sciences of the United
States of America 97(1) (2000), 262-267.
[8] H. Ince and T. B. Trafalis, Support Vector Machine for Regression
and Applications to Financial Forecasting, in: International Joint
Conference on Neural Networks (IJCNN02), IEEE-INNS-ENNS, Como, Italy,
2002.
[9] P. S. Bradley and O. L. Mangasarian, K-plane clustering, J. Glob.
Optim. 16(1) (2000), 23-32.
[10] O. L. Mangasarian and E. W. Wild, Multisurface proximal support
vector classification via generalize eigenvalues, IEEE Trans. Pattern
Anal. Machine Intell. 28(1) (2006), 69-74.
[11] R. Khemchandani Jayadeva and S. Chandra, Twin support vector
machines for pattern classification, IEEE Transactions on Pattern
Analysis and Machine Intelligence 29(5) (2007), 905-910.
[12] Y. H. Shao, W. J. Chen and N. Y. Deng, Nonparallel hyperplane
support vector machine for binary classification problems, Information
Sciences 263 (2013), 22-35.
[13] X. Peng, TSVR: An efficient twin support vector machine for
regression, Neural Networks 23 (2010), 365-372.
[14] D. Basak, S. Pal and D. C. Patranabis, Support vector regression,
Neural Information 10 (2007), 203-224.
[15] Y. H. Shao and C. H. Zhang et al., An support vector machine
for regressor, Neural Comput. 23 (2013), 175-185.
[16] S. Balasundaram and M. Tanveer, On Lagrangian twin support vector
regression, Neural Comput. 22 (2013), 257-267.
[17] http://archive.ics.uci.edu/ml/datasets.html
.
