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/399996/7816791
m hmm_evaluation.m
function P = HMM_evaluation(a, b, V)
% Find the probability of a finite state in a Markov chain
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% V -
www.eeworm.com/read/433717/7912615
m mmcfindp0.m
%mmcfindp0(lambda,mu,c)
% This function finds the probability all machines are working
% for an M/M/c queueing system.
function out = mmcfindp0(lambda,mu,c)
p = lambda/(mu*c);
pc = lambda
www.eeworm.com/read/198642/7918009
m smldpe55.m
function [p]=smldPe55(snr_in_dB)
% [p]=smldPe55(snr_in_dB)
% SMLDPE55 simulates the probability of error for the particular
% value of snr_in_dB, signal to noise ratio in dB.
E=1;
SNR=exp(s
www.eeworm.com/read/198545/7929143
m binomr.m
function y = binomr(n,p)
%BINOMR Binomial random number generator.
% BINOMR(N,P) generates a single random deviate from the binomial
% distribution with denominator n and success probability P.
%
www.eeworm.com/read/298649/7947418
m crover.m
function [out1,out2]=crover(in1,in2,pcross)
%
% [out1,out2]=crover(in1,in2,pcross);
%
% Crosses two input members with a probability
% of crossover of pcross (
www.eeworm.com/read/197258/8008968
m plotprob.m
% plotprob.m
%
function plotprob(x,Qx,xlab,ylab,nor)
% This program plots a set of right-tail probabilities
% (complementary cumulative distribution function) on normal
% probability paper.
%
www.eeworm.com/read/397111/8067195
m random_dd.m
%RANDOM_DD Random one-class classifier
%
% W = RANDOM_DD(A,FRACREJ)
%
% This is the trivial one-class classifier, randomly assigning labels
% and rejecting FRACREJ of the data objects. This pr
www.eeworm.com/read/397099/8068838
m hmm_evaluation.m
function P = HMM_evaluation(a, b, V)
% Find the probability of a finite state in a Markov chain
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% V -
www.eeworm.com/read/397097/8069130
m random_dd.m
%RANDOM_DD Random one-class classifier
%
% W = random_dd(A,fracrej)
%
% This is the trivial one-class classifier, randomly assigning labels
% and rejecting fracrej of the data objects. This pr
www.eeworm.com/read/145086/12754127
cpp test_exe_prob.cpp
#include
#include
#include
using namespace std;
int execute_probably(float probability)
{
if (probability > 1.0)
return 1;
else if (probability