代码搜索：Probability
找到约 4,670 项符合「Probability」的源代码
代码结果 4,670
www.eeworm.com/read/170936/9779305
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
www.eeworm.com/read/415313/11076563
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
www.eeworm.com/read/415313/11076571
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
www.eeworm.com/read/269572/11092141
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
%
www.eeworm.com/read/413912/11137264
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
www.eeworm.com/read/413912/11137275
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
www.eeworm.com/read/268211/11149396
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
%
www.eeworm.com/read/267609/11170910
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
www.eeworm.com/read/412955/11173258
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
%
www.eeworm.com/read/411674/11233963
m pdfgmm.m
function y = pdfgmm(X, model )
% PDFGMM Evaluates gaussian mixture model.
%
% Synopsis:
% y = pdfgmm(X, model )
%
% Description:
% This function evaluates a probability density function
% determin