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/488466/6487384
m smldpe57.m
function [p]=smldPe57(snr_in_dB)
% [p]=smldPe57(snr_in_dB)
% SMLDPE57 simulates the probability of error for the given
% snr_in_dB, signal to noise ratio in dB.
d=1;
SNR=exp(snr_in_dB*log(1
www.eeworm.com/read/488466/6487403
m smldpe58.m
function [p]=smldPe58(snr_in_dB)
% [p]=smldPe58(snr_in_dB)
% SMLDPE58 simulates the probability of error for the given
% snr_in_dB, signal to noise ratio in dB.
d=1;
SNR=exp(snr_in_dB*log(1
www.eeworm.com/read/485544/6552716
m gtmprob.m
function prob = gtmprob(net, data)
%GTMPROB Probability for data under a GTM.
%
% Description
% PROB = GTMPROB(NET, DATA) takes a GTM structure NET, and computes
% the probability of each point in th
www.eeworm.com/read/482347/6623153
m simulparametri.m
function [svar] = simulparametri(DR,RC,X,delta,valuta,legame,vm,tipo,rendimento)
%SIMULPARAMETRI simulvar estimation changing the parameters.
%
% [svar] = simulparametri(DR,RC,X,delta,valuta,legame,v
www.eeworm.com/read/481066/6657312
asv ga3d.asv
function [x,y,fx,vx,vmfit,P] = ga3d(v,ger,pc,pm);
%
% Ph.D. Thesis
% Leandro Nunes de Castro
% November, 1999.
% ENHANCED GENETIC ALGORITHM - Bi-classist Selection
%
% Secondary functions: DECODE &
www.eeworm.com/read/481066/6657313
m ga3d.m
function [x,y,fx,vx,vmfit,P] = ga3d(v,ger,pc,pm);
%
% Ph.D. Thesis
% Leandro Nunes de Castro
% November, 1999.
% ENHANCED GENETIC ALGORITHM - Bi-classist Selection
%
% Secondary functions: DECODE &
www.eeworm.com/read/480480/6664860
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p1
www.eeworm.com/read/479262/6690726
m imperialisticcompetition.m
function Empires=ImperialisticCompetition(Empires)
if rand > .11
return
end
if numel(Empires)
www.eeworm.com/read/479405/6694514
m chi2_dof.m
% chi2_dof.m
% Scope: This MATLAB macro computes the probability density function of the
% chi-square distribution with dof degrees of freedom.
% Usage:
www.eeworm.com/read/476907/6754129
m randint2.m
function out = randint2(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) genera