In the CLear project we develop a cooperative learning system for supporting learning and training processes of co-located and distributed groups. One of the fundamental concepts o...
This paper presents an adaptation of the standard quantum search technique to enable application within Dynamic Programming, in order to optimise a Markov Decision Process. This i...
We address skyline and top-k processing in web interaction scenarios. We model the problem space based on game theory principles and present new algorithms and heuristics to reali...
Volumetric data, such as output from CT scans or laser range scan processing methods, often have isosurfaces that contain topological noise--small handles and holes that are not p...
We propose a new approach to the problem of searching a space of policies for a Markov decision process (MDP) or a partially observable Markov decision process (POMDP), given a mo...