The traditional support vector machine (SVM) often has an over-fitting problem when outliers exit in the training data set. Fuzzy support vector machine (FSVM) provides an effective approach to deal ...

The drawback of SVM technique leads to a positive semidefinite quadratic programming problem with a dense, structured, positive semi-definite matrix, and also requires a set of kernel functions. We ...