Learning with Gaussian Processes

author: Carl Edward Rasmussen, Max Planck Institute for Biological Cybernetics, Max Planck Institute
published: Feb. 5, 2008,   recorded: January 2008,   views: 50424
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Description

This presentation describes the basic foundations and advanced theory of Gaussian processes.

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Download slides icon Download slides: epsrcws08_rasmussen_lgp_01.pdf (1.1 MB)


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Reviews and comments:

Comment1 Memming, February 16, 2008 at 3:25 p.m.:

This is an awesome lecture. I love it. I learned a lot about probability distributions over functions.


Comment2 Me, October 9, 2008 at 1:32 p.m.:

Excellent lecture indeed! Highly recommended for those who want to learn about gaussian process. Well, I think I will create an account here to put yet another star for this video lecture. Thanks, Prof. Rasmussen!


Comment3 oskar holm, April 1, 2009 at 9:59 p.m.:

very good lecture. helped me a lot. gaussian processes and bayesian inference are presented in a very clear way. this is the best introductions to these tricky subjects that i have ever come across.

however, the videographer should be shot.


Comment4 Pearl, January 31, 2010 at 8:26 a.m.:

Great! I really enjoy this lecture. Thanks.


Comment5 Oscar, August 3, 2011 at 11:53 p.m.:

great lecture. thanks!


Comment6 Christoph, November 27, 2011 at 11:16 p.m.:

Who is the idiot behind the camera. It seems it is the same fool who captured the tutorial on deep learning.

I just shouted at my monitor because I couldn't see where He was pointing, a bad sighn for my mental sanity.


Comment7 aravinda, September 6, 2012 at 5:20 p.m.:

Hi
I need the video lecturer series of Pattern Recognition and Pattern Classification How to get this if so please help me

thanking
aravinda


Comment8 Teo, June 27, 2013 at 1:11 p.m.:

This was very helpful and I think the video is well recorded. I disagree with comment 6 above.


Comment9 Alexandr, May 21, 2014 at 9:26 a.m.:

Is factorization on the slide "Sequential Generation" correct? What if i = 1? Didn't get how is it obtained.

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