This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
Recent advances in statistical machine translation have used approximate beam search for NP-complete inference within probabilistic translation models. We present an alternative ap...
Abhishek Arun, Barry Haddow, Philipp Koehn, Adam L...
We show that it is possible to construct numerical models of eye colour from first principles. Our initial model assumes that the important optical interactions occur only in the a...
K. P. B. Cracknell, Damian J. J. Farnell, I. Grier...
This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, e...
Paul Brasnett, Lyudmila Mihaylova, David R. Bull, ...
High performance computing is becoming increasingly important in the field of financial computing, as the complexity of financial models continues to increase. Many of these financ...