ABSTRACT. We consider equilibrium constrained optimization problems, which have a general formulation that encompasses well-known models such as mathematical programs with equilibr...
S. Ilker Birbil, Gemayqzel Bouza, J. B. G. Frenk, ...
Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
Abstract. Model-Driven Engineering (MDE) places models as firstclass artifacts throughout the software lifecycle. In this context, model transformations are crucial for the succes...
Gerti Kappel, Philip Langer, Werner Retschitzegger...
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...