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/209745/15214916
m xover.m
function [new,xcount] = xover(old,px,xtype)
% XOVER performs crossover with a given probability
% new -- new population of chromosomes
% xcount-- # of times crossover was performed
% old -- input
www.eeworm.com/read/13871/284245
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/13871/284660
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
www.eeworm.com/read/477371/1362592
1 chngolombencode.1
.TH CHNGOLOMBENCODE 1 "QCCPACK" ""
.SH NAME
chngolombencode \- Golomb encoding of a binary channel
.SH SYNOPSIS
.B chngolombencode
.RB "[\|" \-s "\|]"
.RB "[\|" \-vo "\|]"
.RB [ -p
.IR probability ]
.
www.eeworm.com/read/461213/1554878
1 chngolombencode.1
.TH CHNGOLOMBENCODE 1 "QCCPACK" ""
.SH NAME
chngolombencode \- Golomb encoding of a binary channel
.SH SYNOPSIS
.B chngolombencode
.RB "[\|" \-s "\|]"
.RB "[\|" \-vo "\|]"
.RB [ -p
.IR probability ]
.
www.eeworm.com/read/225759/4792569
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/225759/4792570
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/206142/5012017
1 chngolombencode.1
.TH CHNGOLOMBENCODE 1 "QCCPACK" ""
.SH NAME
chngolombencode \- Golomb encoding of a binary channel
.SH SYNOPSIS
.B chngolombencode
.RB "[\|" \-s "\|]"
.RB "[\|" \-vo "\|]"
.RB [ -p
.IR probability ]
.
www.eeworm.com/read/344585/3207749
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/344585/3207754
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