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Machine Learning


machine learning Oxford

Machine Learning research in the Department of Computer Science evolves along the following directions

  • Deep learning
  • Large scale machine learning and big data
  • Random forests and ensemble methods
  • Proabilistic graphical models
  • Bayesian optimisation
  • Reinforcement learning
  • Monte Carlo methods and randomised algorithms.
  • Applications to control, games, language understanding, computer vision, speech, time series, and all types of structured and unstructured data.

The group is part of wider Machine Learning initiative at Oxford, which includes researchers in statistics (Yee Whye Teh, Arnaud Doucet, Chris Holmes) and information engineering (Michael Osborne,Steve Roberts,Frank Wood)




Past Members

Selected Publications

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