Balanced Relative Margin Machine  The missing piece between FDA and SVM classification ?
We suggest a new method called BRMM by modifying the existing RMM. The new method generalizes other well-known methods (SVM, RFDA, SVR). We prove and visualize the connections to the other methods. We suggest a sparse BRMM and prove an upper bound on the number of features.
support vector machines linear discriminant analysis mathematical programming kernel methods regularization