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/426227/10273884
m sdma_block2.m
text_num=10000;%%%%the text num。
channelnum=10; %%%the num of channel
block_num=0;%%%用the num which is blocking
p1=0; %%%to catch the probability of the blocking instance
ps=0.99; %%%the
www.eeworm.com/read/426227/10273916
asv sdma_block2.asv
text_num=10000;%%%%the text num。
channelnum=10; %%%the num of channel
block_num=0;%%%用the num which is blocking
p1=0; %%%to catch the probability of the blocking instance
ps=0.99; %%%the
www.eeworm.com/read/162038/10343670
c ga.c
#include
#include
#include
#include
//#include "mpi.h"
#define PCROSSOVER 0.6 /* probability of crossover */
#define PMUTATION 0.1 /
www.eeworm.com/read/420306/10804722
m invwishlpr.m
% INVWISHLPR = Inverse Wishart Distribution - Log Probability Density Ratio
% Copyright (c) 1998, Harvard University. Full copyright in the file Copyright
%
% [ lpr ] = invwishpdf( IW1, IW2, S, d )
www.eeworm.com/read/270992/11013586
m tub.m
%tub.m/created by PJNahin for "Duelling Idiots"(2/19/99)
%This m-file computes the optimal allocation of search boats
%looking for the UNSINKABLE TUB.
%
%
ps=input('Probability a search boat find
www.eeworm.com/read/314041/6955427
m radiobase.m
ModelType='LOS';
%Separation distance Eexpressed in meet
Dn=5;
switch ModelType
% For line-of-sight
case 'LOS'
% Probability of receiving a multipath
for i=1:14
PTk(i)=1-i*7.8/36
www.eeworm.com/read/469416/6976390
m histp.m
function h = histp(x, xmin, xmax, nbins)
%HISTP Histogram estimate of 1-dimensional probability distribution.
%
% Description
%
% HISTP(X, XMIN, XMAX, NBINS) takes a column vector X of data valu
www.eeworm.com/read/466142/7039615
m discrete_sampler.m
function samples_out=discrete_sampler(density,num_samples,replacement_option)
%
% Function that draws samples from a discrete density
%
% density - discrete probability density (should sum to 1)
% num
www.eeworm.com/read/465613/7050251
asv fisher.asv
clc;
clear all;
%load train set
load maleTrain
load femaleTrain
%define prior-probability
Pmale = 0.5;
Pfemale = 1-Pmale;
[Rmale,Cmale] = size(male);
[Rfemale,Cfemale] = size(female);
www.eeworm.com/read/322305/7072534
m nigpdf.m
function y=nigpdf(x,alpha,beta,delta,mu);
%NIGPDF NIG probability density function (pdf).
% Y=NIGPDF(X,ALPHA,BETA,DELTA,MU) returns the pdf of the NIG
% distribution with shape parameter ALPHA