Evolution strategies based adaptive Lp LS-SVM

Not only different databases but two classes of data within a database can also have different data structures. SVM and LS-SVM typically minimize the empirical @f-risk; regularized versions subject to fixed penalty (L2 or L1 penalty) are non-adaptive since their penalty forms are pre-determined. They often perform well only for certain types of situations. For example, LS-SVM with L2 penalty is not preferred if the underlying model is sparse....