Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
Increasingly, medical institutions have access to clinical information through computers. The need to process and manage the large amount of data is motivating the recent interest ...
: The mathematical nature of description logics has meant that domain experts find it hard to understand. This forms a significant impediment to the creation and adoption of ontolo...
We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
Skeletal animation is a concept that has been used in the areas of motion pictures and computer games to create realistic motion for the animation of articulated characters. Recen...