Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...
Martin Mozina, Matej Guid, Jana Krivec, Aleksander...
This paper presents a high performance communication system based on generic programming. The system adapts itself according to the protocol being used on communication, simplifyi...
State machine based formalisms such as labelled transition systems (LTS) are generally assumed to be complete descriptions m behaviour at some level of abstraction: if a labelled ...
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...