In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
In recent literature, the niche enabling effects of crowding and the sharing algorithms have been systematically investigated in the context of Genetic Algorithms and are now estab...
Misuse Detection systems identify evidence of attacks by searching for patterns of known attacks (signatures). A main problem in this context is the modeling and specification of a...
Abstract. Automated timetabling is a research domain that has occupied many researchers over the last 50 years. Several algorithms have proven to be applicable to timetabling but t...
Nele Custers, Patrick De Causmaecker, Peter Demees...