Feature Selection Based On Linear Twin Support Vector Machines

Author:

Yang Zhi-Min,He Jun-Yun,Shao Yuan-Hai

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. K.Q. Shen, C.J. Ong, X.P. Li, Einar P.V. and Wilder-Smith, Feature selection via sensitivity analysis of SVM probabilistic outputs. Machine Learning, 2008, 70:1-20.

2. Y.W. Chang, C.J. Lin, Combining SVMs with various feature selection strategies. Studies in Fuzziness and Soft Computing, 2006, 207:315-324.

3. A. Blum and P. Langley, Selection of relevant features and examples in machine learning. Artificial intelligence, 1997, 97:245-271.

4. Y.W. Chang, C.J. Lin, Feature Ranking Using Linear SVM. JMLR Workshop and Conference Proceedings, 2008, 3:53-64.

5. Yitian Xu, Ping Zhong, Laisheng Wang, Support vector machine-based embedded approach feature selection algorithm, Journal of Informa- tion and Computational Science, 7 (5) (2010), 1155-1163.

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