Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/netlab3.3/mdnpost.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function [post, a] = mdnpost(mixparams, t) | |
2 %MDNPOST Computes the posterior probability for each MDN mixture component. | |
3 % | |
4 % Description | |
5 % POST = MDNPOST(MIXPARAMS, T) computes the posterior probability | |
6 % P(J|T) of each data vector in T under the Gaussian mixture model | |
7 % represented by the corresponding entries in MIXPARAMS. Each row of T | |
8 % represents a single vector. | |
9 % | |
10 % [POST, A] = MDNPOST(MIXPARAMS, T) also computes the activations A | |
11 % (i.e. the probability P(T|J) of the data conditioned on each | |
12 % component density) for a Gaussian mixture model. | |
13 % | |
14 % See also | |
15 % MDNGRAD, MDNPROB | |
16 % | |
17 | |
18 % Copyright (c) Ian T Nabney (1996-2001) | |
19 % David J Evans (1998) | |
20 | |
21 [prob a] = mdnprob(mixparams, t); | |
22 | |
23 s = sum(prob, 2); | |
24 % Set any zeros to one before dividing | |
25 s = s + (s==0); | |
26 post = prob./(s*ones(1, mixparams.ncentres)); |