代码搜索：Probability

找到约 4,670 项符合「Probability」的源代码

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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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www.eeworm.com/read/397106/8067742

m gmmpost.m

function [post, a] = gmmpost(mix, x) %GMMPOST Computes the class posterior probabilities of a Gaussian mixture model. % % Description % This function computes the posteriors POST (i.e. the probability
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www.eeworm.com/read/195643/8136800

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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www.eeworm.com/read/333606/12668942

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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www.eeworm.com/read/333314/12688059

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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www.eeworm.com/read/246557/12719749

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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www.eeworm.com/read/145119/12753152

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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www.eeworm.com/read/143706/12849825

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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www.eeworm.com/read/143706/12849843

m gmmpost.m

function [post, a] = gmmpost(mix, x) %GMMPOST Computes the class posterior probabilities of a Gaussian mixture model. % % Description % This function computes the posteriors POST (i.e. the probability
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www.eeworm.com/read/244076/12891329

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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