The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
The different ways in which concepts within computer networks are understood by master level students who take an internationally distributed project-based course have been identi...
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
— Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case o...
The expansion of the World Wide Web and the use of computers in education have increased the demand for Web courses and, consequently, the need for systems that simplify their prod...