University of Cambridge > > Machine Learning Reading Group @ CUED > Non-parametric mixture models

Non-parametric mixture models

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

If you have a question about this talk, please contact Frederik Eaton.

David and Blaise will be presenting on non-parametric mixture models.

The papers are:

Carl Rasmussen, The Infinite Gaussian Mixture Model

Radford Neal, Markov Chain Sampling Methods for Dirichlet Process Mixture Models

This talk is part of the Machine Learning Reading Group @ CUED 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