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/210157/15205819
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/210156/15205841
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector p.
if length(find(p
www.eeworm.com/read/207484/15269968
h antsystem.h
#pragma once
#include
#include
#include
using namespace std;
class CAntSystem{
const int NC_MAX;
double **m_matrix;
double **trailIntensity,**d_trail;
set
www.eeworm.com/read/206119/15299646
m drnd.m
function out=drnd(p,n)
%out=drnd(p,n)
%copyright:rocwoods
%p is the probability distribution matrix;
%n is the number of the samples you want to generate;
%=================
%for example
%a ran
www.eeworm.com/read/163565/5509734
m randint.m
function out = randint(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) generat
www.eeworm.com/read/160391/5571176
bif sprinkler.bif
network Grass
{}
variable Cloudy
{ type discrete[2] {false true}; }
variable Sprinkler
{ type discrete[2] {false true}; }
variable Rain
{ type discrete[2] {false true}; }
varia
www.eeworm.com/read/476076/6773369
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector p.
if length(find(p
www.eeworm.com/read/476080/6773412
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p
www.eeworm.com/read/476081/6773426
m cm_sm41.m
function [p]=cm_sm41(snr_in_dB)
% [p]=cm_sm41(snr_in_dB)
% CM_SM41 finds the probability of error for the given
% value of snr_in_dB, SNR in dB.
N=10000;
d=1; % min. distance between
www.eeworm.com/read/323947/6784872
asv smldpe58.asv
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