Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Our research focuses on web information management for people who want to monitor and use the World Wide Web (WWW) information, as their information resource. Web information is m...
Collision detection between moving objects is an open question which raises major problems concerning its algorithmic complexity. In this paper we present a polygon collision dete...
The Dempster-Shafer theory gives a solid basis for reasoning applications characterized by uncertainty. A key feature of the theory is that propositions are represented as subsets...
In this paper we explore the notion of a \signing" of a logic program, in the framework of the answer set semantics. In particular, we generalize and extend the notion of a s...