Problem determination in today's computing environments consumes between 30 and 70% of an organization’s IT resources and represents from one third to one half of their tot...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
In this paper we discuss how metaphors for supporting user interaction with multimedia databases can be automatically generated. The work presented is a further step in the develo...
Maria Francesca Costabile, Donato Malerba, Matthia...
In this paper we examine issues of localization, exploration, and planning in the context of a hybrid robot/camera-network system. We exploit the ubiquity of camera networks to us...
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...