Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with kullback-leibler
Search options not deleted
user 107579
An asymmetric measure of distance (or dissimilarity) between probability distributions. It might be interpreted as the expected value of the log likelihood ratio under the alternative hypothesis.
8
votes
How to use Kullback-leibler divergence if mean and standard deviation of of two Gaussian Dis...
You can compute pairwise KL divergence as a function of parameters in closed form for two Gaussian distributions $p$ and $q$. The uni-variate case:
$KL(p||q) = \log \frac{\sigma_2}{\sigma_1} + \frac{ …
- 1,168