This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Before embarking upon a large web site project, whether creating a new site or just redesigning one, it is generally accepted practice not to begin work until all the problem spec...
—Some current and future pervasive data driven applications must operate in ”extreme” environments where endto-end connectivity cannot be guaranteed at all times. In fact, it...
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...