File:KL-Gauss-Example.png
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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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 = }} |