Dimitri Bouche is working on a topic that is little explored in machine learning: space-time processes. He will be analyzing functional and operator-valued kernel methods, with a view to meeting several of the challenges inherent to this type of data. Dimitri Bouche is working with Florence d’Alché-Buc, the head of the DSAIDIS Chair and a professor at Télécom Paris, François Roueff, professor at Télécom Paris and Marianne Clausel, professor at the University of Lorraine.
Keywords: machine learning: space-time processes, analyzing functional, operator-valued kernel methods