The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
In order to effectively validate the performance of software systems throughout their development cycle it is necessary to continuously build performance models from software mod...
Exploratory ad-hoc queries could return too many answers ? a phenomenon commonly referred to as "information overload". In this paper, we propose to automatically catego...
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
This paper reports on the last phase of a longitudinal exploratory study, which aims to compare similarities and differences between e-Commerce and eGovernment. In two stages, we ...