Moteur de recherche d’entreprises européennes

Financement de l’UE (662 400 €) : Aléatoire et apprentissage en réseaux Hor04/12/2020 Programme de recherche et d'innovation de l'UE « Horizon »

Texte

Aléatoire et apprentissage en réseaux

Large Networks is one of the key notions in contemporary science and technology. The availability of massive amounts of data and interaction between individuals of large populations of any kind, whether biological, social or computer units, places network analysis at the forefront of current scientific challenges. The mathematical foundations of large networks have now become the focus of research in the later decades from diverse perspectives. The project RandNET brings together leading researchers worldwide from the areas of combinatorics, probability theory, computer science and statistics with the aim of blending approaches from these areas in the rigorous mathematical foundations for analysing random networks. The whole project is driven by real applications in data science and learning on large networks. This is planned through an alliance between academic and industrial partners. A second goal of the project is to establish a wide platform of knowledge dissemination on the topic of randomness and learning in networks for use of specialists from all scientific disciplines.


Georgia Tech Research Corporation ?
Centre National de la Recherche Scientifique CNRS 101 200 €
Ecole Polytechnique 0,00 €
Nokia Networks France 55 200 €
Technische Universitaet Wien 69 000 €
Technische Universiteit Eindhoven 82 800 €
The Chancellor, Masters and Scholars of the University of Oxford 119 600 €
Universidad Pompeu Fabra 50 600 €
Universitat Politecnica de Catalunya 105 800 €
Univerzita Karlova 78 200 €

https://cordis.europa.eu/project/id/101007705

Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : Georgia Tech Research Corporation Corporation, Atlanta Ga, États-Unis.