University of Cambridge > > Inference Group > Learning from positive and unlabeled data

Learning from positive and unlabeled data

Add to your list(s) Download to your calendar using vCal

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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2023, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity