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SUMMARY:Gaussian process regression on graphs - Peter Sollich (King's Coll
 ege London)
DTSTART:20140716T100000Z
DTEND:20140716T110000Z
UID:TALK52908@talks.cam.ac.uk
CONTACT:Dr Jes Frellsen
DESCRIPTION:I will give an overview of our work over the last few years on
  understanding Gaussian process learning of functions on graphs\, includin
 g kernel properties on locally treelike graphs and exact learning curve pr
 edictions for large graphs. Time permitting I will describe ongoing work o
 n mismatched problems\, which are best tackled with replicated belief prop
 agation\, and multi-task learning.
LOCATION:Engineering Department\, CBL Room BE-438.
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