We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
The Virtual Company educational scenario engages students in a professional setting for working and learning. Students are enabled to develop competencies that are derived from pro...
Howard Spoelstra, Vlad Posea, Jan van Bruggen, Rob...
Learning how to create, test, and revise models is a central skill in scientific reasoning. We argue that qualitative modeling provides an appropriate level of representation for ...
Kenneth D. Forbus, Karen Carney, Bruce L. Sherin, ...
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...