代码搜索：Probability

找到约 4,670 项符合「Probability」的源代码

代码结果 4,670
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/362500/9996088

m ftest.m

function fstat = ftest(p,n,d,flag) %FTEST Inverse F test and F test % For (flag) set to 1 {default} FTEST calculates the % F statistic (fstat) given the probability point (p) % and the numerato
·
www.eeworm.com/read/361768/10036455

m shapirofrancia.m

function [statistic, pval, H] = shapirofrancia(x,tails,probability) % PURPOSE: % This function performs that Shapiro-Francia Test for normality of the data % This is an omnibus test, and is gen
·
www.eeworm.com/read/164272/10120120

m mutate.m

function out=mutate(in,pmutate); % % Mutate the incoming chromasome % with a probability of mutating % each string of pmutate. % % This file takes only one member % of the overall population.
·
www.eeworm.com/read/358235/10193478

1 consult.1

.EN .TH C4.5 1 .SH NAME .PP consult \- classify items using a decision tree .SH SYNOPSIS .PP .B consult [ \fB-f\fR FNS ] [ \fB-t\fR ] .SH DESCRIPTION .PP .I Consult reads a decision tree produced by c
·
www.eeworm.com/read/358235/10193481

1 consultr.1

.EN .TH C4.5 1 .SH NAME .PP consultr \- classify items using a rule set .SH SYNOPSIS .PP .B consultr [ \fB-f\fR FNS ] [ \fB-t\fR ] .SH DESCRIPTION .PP .I Consultr reads a rule set produced by c4.5rule
·
www.eeworm.com/read/281195/10257626

readme

Python-to-libsvm interface Introduction ============ Python (http://www.python.org/) is a programming language suitable for rapid development. This python-to-libsvm interface is developed so users
·
www.eeworm.com/read/277989/10587675

readme

Python-to-libsvm interface Introduction ============ Python (http://www.python.org/) is a programming language suitable for rapid development. This python-to-libsvm interface is developed so users
·
www.eeworm.com/read/159921/10587749

m normald.m

function [p]=normald(X,mi,sigma) % [p]=normald(X,mi,sigma) % % NORMALD calculates the value of many-dimensional probability density % of the normal (Gaussian) distribution for given vectors in t
·
www.eeworm.com/read/159921/10587893

m mmln.m

function [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % MMLN Minimax learning for Gaussian distribution. % [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % % MMLN implem
·
www.eeworm.com/read/159601/10636120

m mutate.m

function out=mutate(in,pmutate); % % Mutate the incoming chromasome % with a probability of mutating % each string of pmutate. % % This file takes only one member % of the overall population.
·