This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
While historically we may have been overly trusting of photographs, in recent years there has been a backlash of sorts and the authenticity of photographs is now routinely questio...
BLEU is the de facto standard for evaluation and development of statistical machine translation systems. We describe three real-world situations involving comparisons between diff...
David Chiang, Steve DeNeefe, Yee Seng Chan, Hwee T...
This paper describes the creation of a state-of-the-art answer type detection system capable of recognizing more than 200 different expected answer types with greater than 85% pre...
Many systems form ‘chains’ whereby developers use one system (or ‘tool’) to create another system, for use by other people. Little work within Human–Computer Interaction ...
Ann Blandford, Jeremy Gow, George Buchanan, Claire...