A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
This paper offers a fresh perspective to study the role and implications of information and communications technologies (ICT) in processes of local democracy. It moves away from ea...
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...
The need for method tailoring is widely accepted in the field of information systems development methods. Today much attention has been devoted to viewing method tailoring either a...
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...