Our Lab conducts research in the area of large scale modelling of complex data sources. This includes the development of new methods for probabilistic graphical models and non-parametric Bayesian models, the development of faster (approximate) inference and learning methods, deep learning, causal inference, reinforcement learning and multi-agent systems and big data.
Meer weten?
Wil je meer informatie over de inhoud van het dossier of in contact worden gebracht met de kennisaanbieder? Neem dan contact met ons op.