Fuzzy Support Vector Machines Based on Density Estimation with Gaussian Mixture for Multiclass Problems
نویسندگان
چکیده
In this paper, we introduce new Fuzzy Support Vector Machines (FSVMs) for a multiclass classification. The suggested Fuzzy Support Vector Machines include the data distribution with the density estimated in a set of functions defined as Gaussian mixture. The proposed method gives more appropriate boundaries than the classical FSVM method. We demonstrate some examples which confirm our approach.
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تاریخ انتشار 2009