File:KL-Gauss-Example.png
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Summary
| Description |
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) |
| Other versions |
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Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License. |
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Original upload log
The original description page was here. All following user names refer to en.wikipedia.
| 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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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 20:16, 25 December 2018 | | 1,224 × 890 (47 KB) | wikimediacommons>Olexa Riznyk | Transferred from en.wikipedia (MTC!) (1.1.0) |
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