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SUMMARY:Bayesian Inference and its Applications - Maria Rosario Mestre\, S
 ignal Processing and Communications Laboratory\, Department of Engineering
 \, University of Cambridge
DTSTART:20111206T100000Z
DTEND:20111206T110000Z
UID:TALK37479@talks.cam.ac.uk
CONTACT:Petra Vertes
DESCRIPTION:Bayesian inference is widely used in science and engineering w
 hen there is prior knowledge about the generation mechanism of observed da
 ta. It is used for a variety of modelling tasks: from the estimation of mo
 del parameters to model selection. We describe the basics of Bayesian infe
 rence\, and then show how it is applied in Bayesian classification. Someti
 mes graphs are used to model conditional independence between random varia
 bles\, we explain the fundamentals of graphical models and how they have b
 een applied to fMRI data. The talk will be supported by examples drawn fro
 m different papers and different types of data.
LOCATION:Sir William Hardy Building on Downing Site
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