We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
Abstract. We describe a new software, pbmodels, that uses pseudo-boolean constraint solvers (PB solvers) to compute stable models of logic programs with weight atoms. To this end, ...
The application of model-driven development facilitates faster and more flexible integration by separating system descriptions to different levels of abstraction. In crossorganisat...
Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
Model management is a new approach to meta data management that offers a higher level programming interface than current techniques. The main abstractions are models (e.g., schema...