Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
In this paper we study a class of dynamical systems defined by Pfaffian maps. It is a sub-class of o-minimal dynamical systems which capture rich continuous dynamics and yet can be...
This paper describes an agent system we have built to handle order entry and management issue in business computing and specialized in the telecommunication domain. Our system is ...
Abstract. This paper presents an agent system ASGARD-0, that provides monitoring for the success or failure of Grid jobs in a High Energy Physics application. This application area...
The study focuses on a class of discrete-time multi-agent systems modelling opinion dynamics with decaying confidence. Essentially, we propose an agreement protocol that impose a p...