For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
In this paper, starting from the limitations and constrains of traditional human learning approaches, we outline new suitable approaches to education and training in future knowle...
Angelo Gaeta, Pierluigi Ritrovato, Francesco Orciu...
Abstract. Despite a growing body of research on knowledge management (KM) systems, many managers are still unsure how they can implement a KM system that will effectively contribut...
Mark Chun, Kiho Sohn, Priscilla Arling, Nelson F. ...
Abstract. The decoupling between behavior and communication fostered by coordination becomes of paramount importance in mobile computing. In this scenario, however, coordination te...