In this paper we present a hybrid filtering algorithm that attempts to deal with low prediction Coverage, a problem especially present in sparse datasets. We focus on Item HyCoV, a...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose six distributed DCOP...
Archie C. Chapman, Alex Rogers, Nicholas R. Jennin...
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
We studied the problem of distributed coding and transmission of intercorrelated sources with memory. Different from the conventional distributed source coding structure which rel...
This paper describes a system for handwritten Chinese text recognition integrating language model. On a text line image, the system generates character segmentation and word segme...