代码搜索：Probability

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m contents.m

% Probability distribution estimation. % % emgmm - Expectation-Maximization Algorithm for GMM. % melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture. % mlcgmm - Maximal Li
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m gmmactiv.m

function a = gmmactiv(mix, x) %GMMACTIV Computes the activations of a Gaussian mixture model. % % Description % This function computes the activations A (i.e. the probability % P(X|J) of the dat
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asv cm_sm8.asv

%*********************************************************************** % cm_sm8.m % cm_sm8 finds the probability of bit error and symbol error for the % given value of snr_in_dB, signal-to-nois
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m cm_sm8.m

%*********************************************************************** % cm_sm8.m % cm_sm8 finds the probability of bit error and symbol error for the % given value of snr_in_dB, signal-to-nois
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m multinonunifmutation.m

function [parent] = multiNonUnifMutation(parent,bounds,Ops) % Multi-Non uniform mutation changes all of the parameters of the parent % based on a non-uniform probability distribution. This Gaussian %
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m multinonunifmutation.m

function [parent] = multiNonUnifMutation(parent,bounds,Ops) % Multi-Non uniform mutation changes all of the parameters of the parent % based on a non-uniform probability distribution. This Gaussian %
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m invwishpdf.m

% INVWISHPDF = Inverse Wishart Distribution - Probability Density Function % Copyright (c) 1998, Harvard University. Full copyright in the file Copyright % % [pdf] = invwishpdf( IW, S, d ) ; % % IW
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m multinon.m

function [parent] = multiNonUnifMutation(parent,bounds,Ops) % Multi-Non uniform mutation changes all of the parameters of the parent % based on a non-uniform probability distribution. This Gaussian
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m multinonunifmutation.m

function [parent] = multiNonUnifMutation(parent,bounds,Ops) % Multi-Non uniform mutation changes all of the parameters of the parent % based on a non-uniform probability distribution. This Gaussian %
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m gmmprob.m

function prob = gmmprob(mix, x) %GMMPROB Computes the data probability for a Gaussian mixture model. % % Description % This function computes the unconditional data density P(X) for a % Gaussian mixt
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