The performance evaluation of an information retrieval system is a decisive aspect for the measure of the improvements in search technology. Our work intends to provide a framewor...
This paper addresses two questions. Firstly, how is it possible for an application to become aware of network conditions and secondly, given this awareness, how can a system be de...
Kristoffer Getchell, Martin Bateman, Colin Allison...
Valid models are central to the existence of Computer science as in most other disciplines, but at what point can one say that a model is valid and hence correct? is often taken t...
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...