File:KL-Gauss-Example.png
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[edit]DescriptionKL-Gauss-Example.png |
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. |
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Source | T. Nathan Mundhenk, Ph.D thesis appendix C. |
Author | Mundhenk (talk) |
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Date/Time | Dimensions | User | Comment |
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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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current | 18:16, 25 December 2018 | ![]() | 1,224 × 890 (47 KB) | Olexa Riznyk (talk | contribs) | Transferred from en.wikipedia (MTC!) (1.1.0) |
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Headline | KL Distance for a Normal Gaussian Distribution |
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Author | T. Nathan Mundhenk |
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Date metadata was last modified | 16:00, 19 March 2009 |
Keywords | Kullback-Leibler KL Kullback Leibler graph normal distribution |
Contact information | nathan@mundhenk.com
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