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SUMMARY:Learning from positive and unlabeled data - Jurgen Van Gael
DTSTART:20070117T140000Z
DTEND:20070117T150000Z
UID:TALK5842@talks.cam.ac.uk
CONTACT:Christian Steinruecken
DESCRIPTION:In this talk I will discuss a recently started research projec
 t on Gaussian processes. Our research addresses a problem that arises in a
 stronomy where we are given a dataset with only positively labeled and unl
 abeled data. We adapt a standard Gaussian process classifier to work in th
 is semi-supervised learning setting.
LOCATION:TCM Seminar Room\, Cavendish Laboratory\, Department of Physics
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