COMPUTER LEARNING

This group works in fundamental research and commercial industrial applications in the fields of computer learning, including inductive/transductive inference and universal prediction. 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 and computational finance. Acknowledged as world leaders in this field, the group have formed the Computer Learning Research Centre.

Members of the Centre are Alex Gammerman (Director), Alexey Chervonenkis, Alex Clark, Yuri Kalnishkan, Zhiyuan Luo, Fionn Murtagh, Glenn Shafer, Vladimir Vapnik, Volodya Vovk and Chris Watkins, with their Research Assistants and PhD students. Visiting Professors and Research Associates include Jorma Rissanen, Jose Cristobal Gonzalez, Leonid Levin, Ray Solomonoff and Vladimir V'yugin.

Recent and Currently Held Research Grants

Recent research grants based at CLRC

Recent industry grants based at CLRC

Alex Clark is a member of the Pascal network of excellence.

Computer Learning resources and tools developed at Royal Holloway

Publications from the group