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...
The growing needs in computational power to answer to the increasing number of on-line services and the complexity of applications makes it mandatory to build corresponding hardwar...
Classifying what-type questions into proper semantic categories is found more challenging than classifying other types in question answering systems. In this paper, we propose to ...
This paper presents an iterative and interactive information retrieval system to search on the web using formal concept analysis (FCA). FCA provides a natural way to organise objec...
In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tail...