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English: The Kullback-Leibler divergence for a normal Gaussian probability distribution. This is an illustration of the area which is integrated when computing the KL divergence. On the top left is an example of two Gaussian PDF’s and to the right of that is the area which when integrated gives the KL metric. Below it are three more examples showing that as the mean between two distributions grows linearly, the area integrated grows much faster.
Date
Source T. Nathan Mundhenk, Ph.D thesis appendix C.
Author Mundhenk (talk)
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Date/Time Dimensions User Comment
2009-03-20 06:01:55 1224 × 890 Mundhenk {{Information |Description = The Kullback-Leibler divergence for a normal Gaussian probability distribution |Source = I created this work entirely by myself. |Date = March 19 2009 |Author = ~~~ |other_versions = }}

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current18:16, 25 December 2018Thumbnail for version as of 18:16, 25 December 20181,224 × 890 (47 KB)Olexa RiznykTransferred from en.wikipedia (MTC!) (1.1.0)

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