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: 50402
published: Feb. 5, 2008, recorded: January 2008, views: 50402
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Description
This presentation describes the basic foundations and advanced theory of Gaussian processes.
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Reviews and comments:
This is an awesome lecture. I love it. I learned a lot about probability distributions over functions.
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!
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.
Great! I really enjoy this lecture. Thanks.
great lecture. thanks!
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.
Hi
I need the video lecturer series of Pattern Recognition and Pattern Classification How to get this if so please help me
thanking
aravinda
This was very helpful and I think the video is well recorded. I disagree with comment 6 above.
Is factorization on the slide "Sequential Generation" correct? What if i = 1? Didn't get how is it obtained.
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