School of Computer Science


Machine Learning and Optimization

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Maintained by G.Brown

Academic Staff

Jon Shapiro (Head of Group)
    - Reinforcement learning, dynamical systems.
Gavin Brown
    - Ensemble methods, feature selection, information theory.
Ke Chen
    - Machine Perception, Pattern Recognition, Ensemble Methods.
Joshua Knowles
    - Multiobjective optimization, Systems biology, evolutionary algorithms.
Pedro Mendes
    - Computational modeling of biochemical networks.
Richard Neville
    - Neural networks, evolutionary algorithms, fuzzy systems.
Xiaojun Zeng
    - Knowledge Support Systems, Neural networks, Fuzzy systems.

Jon Shapiro
Gavin Brown Josh Knowles Pedro Mendes
Ke Chen Richard Neville Xiaojun Zeng


Research Staff

Narayanan Edakunni
    - Probabilistic models, boosting, ensemble algorithms
Ming-Jie Zhao
    - Probabilistic models, feature selection, online learning
Michalis Titsias
    - Gaussian process models, Bayesian non-parametric models
Ela Pekalska (EPSRC Fellow)
    - Kernel methods, dissimilarity representations




Nara Edakunni Mingjie Zhao Michalis
Ela


Research Students

David Fox
Richard Mealing
Hassan Bashir
Darren Hau
Joe Mellor
Don Liyanage
Peter Glaus
Richard Allmendinger
Georgios Charoupoulos
Ahmad Almakhlafi
Jon Roberts
Ahmed Salman
Richard Stapenhurst
Adam Pocock
Kevin Sharp
Mauricio Alvarez
Geng Li