Our Computer Learning Research Centre, founded in 1998, is involved both in fundamental research and in commercial industrial applications in various fields of machine learning.
The current research topics are universal prediction, Support-Vector method, probabilistic reasoning, the theory of Kolmogorov and predictive complexity, on-line prediction with expert advice, transductive inference, reinforcement learning, and computational finance.
