Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Abstract. Learning style is one of the individual differences that play an important but controversial role in the learning process. This paper aims at providing a critical analysi...
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
This paper describes a strategy for modeling and engineering complex e-business systems with built-in quality of adaptiveness. The paper explains the philosophical and scientific ...
In this paper it is presented our contribution for carrying out adaptive and intelligent Web-based Education Systems (WBES) that take into account the individual student learning ...