Current systems used in education follow a consistent design pattern, one that is not supportive of lifelong learning or personalization, is asymmetric in terms of user capability,...
Scott Wilson, Oleg Liber, Mark Johnson, Phillip Be...
This paper presents Lecomps5, a web-based system for automated course personalization in distance learning environments. This system is an upgraded version of the Lecomps4 system,...
Carla Limongelli, Filippo Sciarrone, Marco Temperi...
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
This paper focuses on inductive learning of recursive logical theories from a set of examples. This is a complex task where the learning of one predicate definition should be inter...
Margherita Berardi, Antonio Varlaro, Donato Malerb...