annotate toolboxes/FullBNT-1.0.7/netlab3.3/gmmprob.m @ 0:cc4b1211e677 tip

initial commit to HG from Changeset: 646 (e263d8a21543) added further path and more save "camirversion.m"
author Daniel Wolff
date Fri, 19 Aug 2016 13:07:06 +0200
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Daniel@0 1 function prob = gmmprob(mix, x)
Daniel@0 2 %GMMPROB Computes the data probability for a Gaussian mixture model.
Daniel@0 3 %
Daniel@0 4 % Description
Daniel@0 5 % This function computes the unconditional data density P(X) for a
Daniel@0 6 % Gaussian mixture model. The data structure MIX defines the mixture
Daniel@0 7 % model, while the matrix X contains the data vectors. Each row of X
Daniel@0 8 % represents a single vector.
Daniel@0 9 %
Daniel@0 10 % See also
Daniel@0 11 % GMM, GMMPOST, GMMACTIV
Daniel@0 12 %
Daniel@0 13
Daniel@0 14 % Copyright (c) Ian T Nabney (1996-2001)
Daniel@0 15
Daniel@0 16 % Check that inputs are consistent
Daniel@0 17 errstring = consist(mix, 'gmm', x);
Daniel@0 18 if ~isempty(errstring)
Daniel@0 19 error(errstring);
Daniel@0 20 end
Daniel@0 21
Daniel@0 22 % Compute activations
Daniel@0 23 a = gmmactiv(mix, x);
Daniel@0 24
Daniel@0 25 % Form dot product with priors
Daniel@0 26 prob = a * (mix.priors)';