REFERENCES
- V. Vapnik, The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995.
- C.L. Huang, and C. J. Wang, “A GA-based feature selection and parameters optimization for support vector machine,” Expert Syst. Appl., Vol. 31, no. 2, pp. 231–240, Jul. 2006.
- Cheng-Lung Huang, and Jian Fan Dun, “A distributed PSO – SVM hybrid system with feature selection and parameter optimization,” Appl. Soft. Computing, Vol. 8, no. 4, pp. 1381–1391, Sept. 2008.
- T. Van Gestel, J. A. K. Suykens, B. Baesens, S. Viaene, J. Vanthienen, G. Dedene, B. De Moor, and J. Vandewalle, “Benchmarking least squares support vector machine classifiers,” Mach. Learn., Vol. 54, no. 1, pp. 5–32, Jan. 2004.
- P.S. Bradley, O. L. Mangasarian, and W. N. Street, “Feature selection via mathematical programming,” INFORMS J. Comput., Vol. 10, no. 2, pp. 209–217, Dec. 1998.
- S.S. Keerthi, “Efficient tuning of SVM hyper parameters using radius/margin bound and iterative algorithms,” IEEE Trans. Neural Networks, Vol. 13, no. 5, pp. 1225–1229, Sept. 2002.
- L. Guo, L. Zhao, Y. Wu, Y. Li, G. Xu, and Q. Yan, “Tumor detection in MR images using one-class immune feature weighted SVMs,” IEEE Trans. Magnetics, Vol. 47, no. 10, pp. 3849–3852, Oct. 2011.
- A. Islam, S. M. S. Reza, and K. M. Iftekharuddin, “Multifractal texture estimation for detection and segmentation of brain tumors,” in IEEE Trans. Biomed. Eng., Vol. 60, no. 11, pp. 3204–3215, Nov. 2013.
- A. Demirhan, M. Törü, and İ. Güler, “Segmentation of tumor and edema along with healthy tissues of brain using wavelets and neural networks,” IEEE J. Biomed. Health Inform., Vol. 19, no. 4, pp. 1451–1458, July. 2015.
- J. Timmis, M. Neal, and J. Hunt, “An artificial immune system for data analysis,” Biosystems, Vol. 55, no. 1–3, pp. 143–150, Feb. 2000.
- Coello, CA Coello, and N. Cruz Cortés. “An approach to solve multiobjective optimization problems based on an artificial immune system.” First International Conference on Artificial Immune Systems (ICARIS′2002). 2002.
- A. Devos, A.W. Simonetti, M. van der Graaf, L. Lukas, J.A.K. Suykens, L. Vanhamme, L.M.C. Buydens, A. Heerschap, and S. Van Huffel, “The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification,” J. Magn. Reson., Vol. 173, no. 2, pp. 218–28, Apr. 2005.
- S.N. Deepa, and B. Aruna Devi, “A survey on artificial intelligence approaches for medical image classification,” Indian J. Sci. Technol., Vol. 4, no. 11, pp. 1583–1595, Nov. 2011.
- R. Preetha, and G.R. Suresh, “Performance evaluation of immune-inspired support vector machine,” Int. J. Biomed. Eng. Technol., Vol. 16, no. 3, pp. 209–222, Nov. 2014.
- J. C. Bezek, Pattern Recognition with Fuzzy Object Function Algorithms. New York: Plenum, 1981.
- N. Aronszajn, “Theory of reproducing kernels,” Trans. Amer. Math. Soc., Vol. 68, no. 3, pp. 337–404, May. 1950.