Keywords: LR; Logistic Regression; rLR; robust Logistic Regression; KLR; Kernel Logistic Regression; rKLR; robust Kernel Logistic Regression; rMKLR; robust Multiple Kernel Logistic Regression; Classification; Label noise; Model selection; Multiple Kernel Learning;