Training Semiparametric Support Vector Machines

The semiparametric Support Vector Machine (SVM) has recently been introduced as a generalization of the classical SVM to the case in which some a priori knowledge about the considered problem is available. Semiparametric SVM training requires that we solve an optimization problem very similar (it only imposes a larger number of equality constraints) to that to be solved for classical SVM training. In both cases training is usually performed by …