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/349916/10782299
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
www.eeworm.com/read/420306/10804708
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/349646/10808446
m multipdf.m
function p = multipdf(x,theta)
%MULTIPDF Multinomial probability density function.
% p = multipdf(x,theta) returns the probabilities of
% vector x, under the multinomial distribution
% with par
www.eeworm.com/read/349646/10808978
m multipdf.m
function p = multipdf(x,theta)
%MULTIPDF Multinomial probability density function.
% p = multipdf(x,theta) returns the probabilities of
% vector x, under the multinomial distribution
% with par
www.eeworm.com/read/271760/10981913
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/416438/11025247
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/416309/11034007
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/416156/11039628
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/469416/6976063
m multipdf.m
function p = multipdf(x,theta)
%MULTIPDF Multinomial probability density function.
% p = multipdf(x,theta) returns the probabilities of
% vector x, under the multinomial distribution
% with par
www.eeworm.com/read/469416/6976478
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