Abstract. This paper presents a new technique for computing collisionfree navigation motions from task-level commands for animated human characters in interactive virtual environme...
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendr...
A framework that delineates the relationships between learner control and learning effectiveness is absent. This study aims to fill this void. Unlike previous research, this study...