Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Flocking behavior is very common in nature, and there have been ongoing research efforts to simulate such behavior in computer animations and robotics applications. Generally, suc...
In this paper, we present a rich semantic network based on a differential analysis. We then detail implemented measures that take into account common and differential features bet...
The changes in the dynamics of the economy and the corresponding mobility and fluctuations of knowledge workers within organizations make continuous social learning an essential f...
Karin Schoefegger, Nicolas Weber, Stefanie N. Lind...
Current scientific workflow models require datasets to be transferred from their source to the hosts where they can be processed. This seriously impedes data-intensive application...