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/173076/9675405
m betalpr.m
% BETALPR - Beta Distribution - Log Probability Ratio
% Copyright (c) 1998, Harvard University. Full copyright in the file Copyright
%
% [ lpr ] = betalpr(p1,p2,alpha,beta)
%
% returns the log of t
www.eeworm.com/read/367442/9747836
m bayescln.m
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/367442/9747845
m~ bayescln.m~
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/171351/9760576
parameters
Maximization (1) = 1
Level wise mGA (1) = 1
Problem size (15) = 30
Maximum era (3) = 3
Probability of cut (0.02) = 0.016667
Probability of splice (1.0) = 1.0
Probability of allelic mutation (0.0) = 0.
www.eeworm.com/read/170936/9779396
m mdnpost.m
function [post, a] = mdnpost(mixparams, t)
%MDNPOST Computes the posterior probability for each MDN mixture component.
%
% Description
% POST = MDNPOST(MIXPARAMS, T) computes the posterior probability
www.eeworm.com/read/415313/11076715
m mdnpost.m
function [post, a] = mdnpost(mixparams, t)
%MDNPOST Computes the posterior probability for each MDN mixture component.
%
% Description
% POST = MDNPOST(MIXPARAMS, T) computes the posterior probability
www.eeworm.com/read/414455/11111382
m expected.m
function e=expected(funfcn,a,b,tol,p1,p2,p3)
% EXPECTED Finds the expected value of a random variable
% with probability density function 'funfcn' and
% support [a,b].
% Y=EXPECTED('F'
www.eeworm.com/read/413912/11137421
m mdnpost.m
function [post, a] = mdnpost(mixparams, t)
%MDNPOST Computes the posterior probability for each MDN mixture component.
%
% Description
% POST = MDNPOST(MIXPARAMS, T) computes the posterior probability
www.eeworm.com/read/268231/11148960
m expected.m
function e=expected(funfcn,a,b,tol,p1,p2,p3)
% EXPECTED Finds the expected value of a random variable
% with probability density function 'funfcn' and
% support [a,b].
% Y=EXPECTED('F',A,B
www.eeworm.com/read/267609/11170911
m betalpr.m
% BETALPR - Beta Distribution - Log Probability Ratio
% Copyright (c) 1998, Harvard University. Full copyright in the file Copyright
%
% [ lpr ] = betalpr(p1,p2,alpha,beta)
%
% returns the log of t