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SUMMARY:Expectation Propagation - Dr Tom Minka\, Microsoft Research Cambri
 dge
DTSTART:20061116T160000Z
DTEND:20061116T180000Z
UID:TALK5542@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:Expectation propagation is an algorithm for Bayesian machine l
 earning that is especially well-suited to large databases and dynamic syst
 ems. Given prior knowledge expressed as a graphical model\, it tunes the p
 arameters of a "simple" probability distribution (such as a Gaussian) to b
 est match the posterior distribution (which\, in its exact form\, could be
  very complex). This simplified posterior can be used to describe the data
 \, make predictions\, and quickly incorporate new data. Expectation propag
 ation has been successfully applied to visual tracking\, wireless communic
 ation\, document analysis\, diagram analysis\, and matchmaking in online g
 ames. 
LOCATION:LR4\, Engineering\, Department of
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