代码搜索：MIXTURE

找到约 1,805 项符合「MIXTURE」的源代码

代码结果 1,805
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m h2m_example_basic.m

%ex_basic How to use the h2m functions on the three basic model types: % 1. Fully connected HMM 2. Left-right HMM 3. Mixture model % % Beware : This is not a real demo, so you should take a
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m ex_basic.m

%ex_basic How to use the h2m functions on the three basic model types: % 1. Fully connected HMM 2. Left-right HMM 3. Mixture model % % Beware : This is not a real demo, so you should take a
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asv h2m_example_basic.asv

%ex_basic How to use the h2m functions on the three basic model types: % 1. Fully connected HMM 2. Left-right HMM 3. Mixture model % % Beware : This is not a real demo, so you should take a
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m norm2file.m

function norm2file(MI,SIGMA,I,fname) % NORM2FILE saves normal mixture model to given file. % norm2file(MI,SIGMA,I,fname) % % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlava
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m collapse_mog.m

function [new_mu, new_Sigma, new_Sigma2] = collapse_mog(mu, Sigma, coefs) % COLLAPSE_MOG Collapse a mixture of Gaussians to a single Gaussian by moment matching % [new_mu, new_Sigma] = collapse_mog(
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m norm2file.m

function norm2file(MI,SIGMA,I,fname) % NORM2FILE saves normal mixture model to given file. % norm2file(MI,SIGMA,I,fname) % % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlava
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www.eeworm.com/read/396844/2407617

m collapse_mog.m

function [new_mu, new_Sigma] = collapse_mog(mu, Sigma, coefs) % COLLAPSE_MOG Collapse a mixture of Gaussians to a single Gaussian. % [new_mu, new_Sigma] = collapse_mog(mu, Sigma, coefs) % % coefs(i) -
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www.eeworm.com/read/373460/2761951

m norm2file.m

function norm2file(MI,SIGMA,I,fname) % NORM2FILE saves normal mixture model to given file. % norm2file(MI,SIGMA,I,fname) % % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlava
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www.eeworm.com/read/367442/9748168

m norm2file.m

function norm2file(MI,SIGMA,I,fname) % NORM2FILE saves normal mixture model to given file. % norm2file(MI,SIGMA,I,fname) % % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlava
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www.eeworm.com/read/429878/8784130

htm mdngrad.htm

Netlab Reference Manual mdngrad mdngrad Purpose Evaluate gradient of error function for Mixture Density Network. Synopsis
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