In the past few years virtual reality based systems have been proposed and realized for many medical interventions. These simulators have the potential to provide training on a wid...
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....
Replications play an important role in verifying empirical results. In this paper, we discuss our experiences performing a literal replication of a human subjects experiment that ...
Jonathan Lung, Jorge Aranda, Steve M. Easterbrook,...
Conventional deformable registration methods are mostly driven by the interface between different brain structures. In recent years, Diffusion Tensor Magnetic Resonance Imaging (D...
Alexandre Guimond, Charles R. G. Guttmann, Simon K...