We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a cla...
In Information Systems research there are a growing number of studies that must necessarily draw upon the contexts, experiences and narratives of practitioners. This calls for res...
Abstract In this paper we describe a form of communication that could be used for lifelong learning as contribution to cultural computing. We call it Kansei Mediation. It is a mult...
Augmented Reality has been used for developing systems with learning purposes. In this paper, we present an Augmented Reality system for learning the interior of the human body. W...
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...