Although a considerable number of successful frameworks have been developed during the last decade, designing a high-quality framework is still a difficult task. Generally, it is ...
Based on research that studied the challenges and difficulties faced by students taking games studies and game design courses, we propose that, while many students enrolled in gam...
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
We describe the goals and proposed design for SimTK, part of the NIH-supported Simbios National Center for Biomedical Computing. SimTK (Simulation ToolKit) will enable biomedical ...
Scott L. Delp, F. Clayton Anderson, Russ B. Altman