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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Feature selection for linear support vector machines
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Zhizheng Liang, Shenzhen Graduate School,HIT
Tuo Zhao, Shenzhen Graduate School,HIT
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is developed. The proposed algorithm uses the standard linear SVM algorithm and is performed in an iterative way. Feature selection is carried out by assigning weights to features. Experimental results on UCI data set and face images confirm the feasibility and validation of the proposed method.
Citation:
Zhizheng Liang, Tuo Zhao, "Feature selection for linear support vector machines," icpr, vol. 2, pp.606-609, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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