Lecture 14: Approximating Probability Distributions (IV): Variational Methods

author: David MacKay, University of Cambridge
produced by: David MacKay (University of Cambridge)
author: David MacKay, University of Cambridge
published: Nov. 5, 2012,   recorded: July 2012,   views: 14504


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Reviews and comments:

Comment1 Sonam Singh, June 5, 2015 at 6:58 p.m.:

I copied this question from youtube on same lecture but I am not sure either what is the answer for this question:
The sum of a discrete probability distribution should always be 1, correct? For the distribution shown at 6:00, sum_x Q(x) = 1+epsilon which doesn't equal 1.

Somebody please answer if we are missing something?

Comment2 Vik Kamath, June 13, 2015 at 1:28 a.m.:

@Sonam Singh : You can think of it as P(x) = {0.33,0.33,0.33,\epsilon}

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