The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
Abstract. Privacy issues are a major burden for the acceptance of pervasive applications. They may ultimately result in the rejection of new services despite their functional beneļ...
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
The paper presents an MPEG-7 Multimedia Description Schemes (MDS)-based metadata and user proļ¬le model used within an enhanced DTV environment for semantic annotation and person...
This paper deals with the evolutionary design of programs (constructors) that are able to create (n+2)-input circuits from n-input circuits. The growing circuits are composed of p...