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 gaussian-mixture-distribution
Search options not deleted
user 245769
A type of mixed distribution or model which assumes subpopulations follow Gaussian distributions.
1
vote
1
answer
144
views
Calculation of Bayeain rule as classifier for mixture Gaussian model
Here is a paper which used a bayesian classification based on Gaussian mixture model
I read many article saying that we can fit a gaussian mixture model to a data and then, based on the estimated para …
- 316
0
votes
0
answers
199
views
latent variables in EM algorithm are assumed to be i.i.d from multinomial distribution, from...
In EM algorithm we introduce a latent variables, say $z_i$, $i=1,...n$, $n$ is the number of the mixture component. These variables ($z_i$) are assumed to be independent and identically distributed fr …
- 316