In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
Abstract. We introduce a novel model-based approach for the segmentation and quantification of the aortic arch morphology in 3D CTA images for endovascular aortic repair. The appro...
In open, dynamic multi-agent systems, agents may form short-term ad-hoc groups, such as coalitions, in order to meet their goals. Trust and reputation are crucial concepts in thes...
Memory-bounded techniques have shown great promise in solving complex multi-agent planning problems modeled as DEC-POMDPs. Much of the performance gains can be attributed to pruni...
A good clustering performance depends on the quality of the distance function used to asses similarity. In this paper we propose a pairwise document coreference model to improve pe...
Iustin Dornescu, Constantin Orasan, Tatiana Lesnik...