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SUMMARY:Learning Task Relations in Multi-Task Learning - Yu Zhang (Hong Ko
 ng University of Science and Technology)
DTSTART:20160614T100000Z
DTEND:20160614T110000Z
UID:TALK66514@talks.cam.ac.uk
CONTACT:Louise Segar
DESCRIPTION:In this talk\, I present three of my works to learn task relat
 ions for multi-task learning. The first work is to learn pairwise relation
 s for multiple tasks based on a task covariance. The second work learns a 
 multi-task kNN classifier where the classification of each data point depe
 nds on data points from all the tasks. The third work models tasks in a hi
 erarchical structure and aims to learn the hierarchical structure as well 
 as the model parameters in a principled framework.
LOCATION:Engineering Department\, CBL Room BE-438
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