Abstract. Active imaging is a recently developed approach to modelbased optimisation of imaging protocols. In the application we discuss here, a diffusion magnetic resonance imagin...
Chris A. Clark, Daniel C. Alexander, Jonathan D. C...
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...