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SUMMARY:Bayesian factorization of multiple data sources - Professor Samuel
  Kaski\, Professor of Computer Science\, Aalto University
DTSTART:20160225T150000Z
DTEND:20160225T160000Z
UID:TALK64778@talks.cam.ac.uk
CONTACT:Pietro Lio
DESCRIPTION:An increasingly common data analysis task is to factorize mult
 iple data\nmatrices together. The goal can be to borrow strength from rela
 ted data\nsources for missing value imputation or prediction\, or to find 
 out what\nis shared between different sources and what is unique in each. 
 I will\ndiscuss an extension of factor analysis to this task\, group facto
 r\nanalysis GFA\, and its extension from analysis of multiple coupled\nmat
 rices to multiple coupled tensors and matrices. I will pick examples\nfrom
  molecular medicine and brain data analysis.
LOCATION:Lecture Theatre 2\, Computer Laboratory
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