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Day One: Thursday 4th July 2013

Time Session Supervisor
In Mathematical Institute, Lecture Theatre 1 Session Chair: Ian Nabney
10:30 Registration and Coffee
11:00 Welcome Ian Nabney (U. Aston) - NCAF Chair, Steve Roberts (U.Oxford) - Meeting Organizer
11:15 Structure discovery and scaling in Bayesian nonparametric models Zoubin Gharamani (U. Cambridge)
12:00 Planets, pulsars and petabytes: machine learning in astrophysics Steve Roberts (U. Oxford)
13:00 Lunch in Thom Building, Engineering and Science Department
In Thom Building, Engineering and Science Department Session Chair: Steve Roberts
14:00 Deep Gaussian Processes Neil Lawrence (U. Sheffield)
14:45 Information gathering strategies for hydrothermal vent hunting Richard Dearden (Schlumberger Gould Research)
15:30 Coffee
16:00 Novelty detection for early warning of patient deterioration Lionel Tarassenko (U. Oxford)
16:45 Modelling and Identification of Nonlinear and Spatiotemporal Systems Visakan Kadirmanathan (U. Sheffield)
15:30 Machine Learning Applications in Computational Biology Mahesan Niranjan (U. Southampton)
16:15 A group photo session
16:30 Social Evening: Dinner at St. Anne's College, followed by punting from The Cherwell Boathouse

Day Two: Friday 5th July 2013

Time Session Supervisor
In Thom Building, Engineering and Science Department Session Chair: Andy Pryke
09:30 Deep-er Kernels John Shawe - Taylor (UCL)
10:15 Bounds and Optimisation for Model Fitting David Barber ( UCL)
11:00 Coffee
Session Chair: Ian Nabney
11:30 Learning in the model space for sequential data - from temporal filters to sequence kernels and back. Peter Tino (U. Birmingham)
12:15 Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models Dirk Husmeier (U. Glasgow)
13:00 Lunch
Session Chair: Rajesh Ransing
14:00 Visualising and understanding multi-objective league tables Richard Everson (U. Exeter)
14:45 Transiently Synchronising Brain Networks Mark Woolrich (U. Oxford)
15:30 Closure of meeting and Vote of Thanks