Feature Selection Using Sparse Twin Bounded Support Vector Machine

Author:

Zheng XiaohanORCID,Zhang LiORCID,Yan LeileiORCID

Publisher

Springer International Publishing

Reference21 articles.

1. Zhang, X., Wu, G., Dong, Z., Crawford, C.: Embedded feature-selection support vector machine for driving pattern recognition. J. Franklin Inst. 352, 669–685 (2015)

2. Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157–1182 (2003)

3. Chandrashekar, G., Sahin, F.: A survey on feature selection methods. Comput. Electr. Eng. 40, 16–28 (2014)

4. Bi, J., Bennett, K., Embrechts, M., Breneman, C., Song, M.: Dimensionality reduction via sparse support vector machines. J. Mach. Learn. Res. 3, 1229–1243 (2003)

5. Jain, A.K., Duin, R.P.W., Mao, J.: Statistical pattern recognition: a review. IEEE Trans. Pattern Anal. Mach. Intell. 22(1), 4–37 (2000)

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