Stereo audio enhancement and upmixing techniques require spatial analysis of the mixture in order to work optimally for different types of contents. In this paper a method is prop...
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
: The need for analysis and modeling of knowledge has been espoused by many researchers as a prerequisite to building knowledge based systems (KBS). This approach has done little t...
Algebraic transformation and optimization techniques have been the method of choice in relational query execution, but applying them in OODBMS is difficult due to the complexity o...
Peter A. Boncz, Annita N. Wilschut, Martin L. Kers...
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...