Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » Machine Learning Summer School (MLSS), La Palma 2012

Introduction to Bayesian Nonparametrics

author: Peter Orbanz, Institute of Computational Science, ETH Zurich
published: Jan. 15, 2013,   recorded: April 2012,   views: 25203
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Reviews and comments:

Comment1 Matt W, March 4, 2013 at 1:28 p.m.:

Enjoyed the lecture. Especially the parts about the Dirichlet process are extraordinary well explained. Later it gets a bit more difficult, even if you might have a strong stochastic background, but this is simply due to the complexity of the topic.

Well done!

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