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Learning from positive and unlabeled data

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If you have a question about this talk, please contact Christian Steinruecken.

In this talk I will discuss a recently started research project on Gaussian processes. Our research addresses a problem that arises in astronomy where we are given a dataset with only positively labeled and unlabeled data. We adapt a standard Gaussian process classifier to work in this semi-supervised learning setting.

This talk is part of the Inference Group series.

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