As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Computational grids are now widespread, but their large-scale behaviour is still poorly understood. We report on some calculations of loading, scaling and utilisation behaviours o...
Currently, the genome sequencing community is producing shotgun sequence data at a very high rate, but genome finishing is not keeping pace, even with the help from several automa...
UML activity models (activities, for short) have become widely accepted for specifying the dynamic behavior of use cases. For an adequate specification of use cases in the context...