An attribute reduction method based on SVM
Xiao Tang, Zhiwen Mo · 2012
Recently, support vector machine (SVM), which is based on statistical learning theory emerges as a hot spot in artificial intelligence. It has been widely applied in pattern recognition and many fields. A new attribute reduction method based on SVM is proposed and realized. This paper provides a new way of thinking for attribute reduction.