Combining SVMs with Various Feature Selection Strategies
نویسندگان
چکیده
This article investigates the performance of combining support vector machines (SVM) and various feature selection strategies. Some of them are filtertype approaches: general feature selection methods independent of SVM, and some are wrapper-type methods: modifications of SVM which can be used to select features. We apply these strategies while participating at NIPS 2003 Feature Selection Challenge and rank third as a group.
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تاریخ انتشار 2005