From Data to Models
New Bioinformatics Methods and Tools for Data-Driven, Predictive Dynamic Modelling in Biotechnological Applications

2013 Gaussian Process models

2013 Gaussian Process models


No fee but registration is required. Organized by U Sheffield and co-sponsored by BioPreDyn.


Learn the latest approaches to function approximation in machine learning, with applications in Bayesian modelling of network models.


This summer school will give an introduction to Gaussian processes (GP), followed by state-of-the-art topics (multioutput GP, sparse GP, global optimisation, latent force models). Talks will be combined with workshops, with ample time for discussions. The school will be held in the SITraN building.



Mauricio Alvarez, Pereira University

Nicolas Durrande, University of Sheffield

Philipp Hennig, Max Planck Institute

James Hensman, University of Sheffield

Neil Lawrence, University of Sheffield

Michael Osborn, University of Oxford

Simo Särkkä, Aalto University

Richard Turner, University of Cambridge

Richard Wilkinson, University Of Nottingham

PDF icon Gaussian Processes_agenda.pdf220.7 KB
Jun 10 to Jun 13
385 Glossop Road
Sheffield S10 2HQ
United Kingdom