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SUMMARY:Geometric aspects of Statistical Learning Theory - Shahar Mendelso
 n (ANU)
DTSTART:20170428T150000Z
DTEND:20170428T160000Z
UID:TALK72168@talks.cam.ac.uk
CONTACT:HoD Secretary\, DPMMS
DESCRIPTION:I will survey the progress made on one of the main questions i
 n Statistical Learning Theory - the prediction problem. I will show that t
 his problem has strong (and surprising) connections to high dimensional ge
 ometry and explain why the methods that have been developed for its soluti
 on are of independent interest in other areas of mathematics. 
LOCATION:MR12\, Centre for Mathematical Sciences\, Wilberforce Road\, Camb
 ridge.
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