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/283910/8979962
c userint.c
/*************************************************************************/
/* */
/* User interface for consulting trees and rulesets */
/* -----------------------------------------------
www.eeworm.com/read/184938/9064275
m test1.m
im = imread('images/berries.jpg','jpg');%%% 载入待处理的图片
im = double(im) ./ 256;
load clusters % clusters was created using the previous command
M = calculatePXTheta(im,clusters);
figure(1)
colormap gr
www.eeworm.com/read/381211/9104220
m erfx.m
function y=erfx(mu,sigma,x)
% y=erfx(mu,sigma,x)
%
% erfx is the probability that a normally distributed random
% variate with mean mu and standard deviation sigma lies in
% the range {mu,mu+x}.
www.eeworm.com/read/381207/9104836
m prob_snr1.m
% This program is used to produce Fig. 2.4
close all
clear all
for nfa = 2:2:12
b = sqrt(-2.0 * log(10^(-nfa)));
index = 0;
hold on
for snr = 0:.1:18
index = index +1;
www.eeworm.com/read/184267/9114070
m expected.m
function e=expected(funfcn,a,b,tol,p1,p2,p3)
% EXPECTED Finds the expected value of a random variable
% with probability density function 'funfcn' and
% support [a,b].
% Y=EXPECTED('F'
www.eeworm.com/read/182374/9205833
m createprobtables.m
function[Table] = CreateProbTables(totcliq,ListCliqAccCard)
% Create the probability tables for all cliques
for i=1:totcliq,
sizecliq = ListCliqAccCard(i,1);
aux=zeros(sizecliq,1
www.eeworm.com/read/378004/9254213
m simon_two_stage.m
%TITLE: SIMON'S TWO STAGE DESIGN%
%SOURCE OF FORMULA: P17, CHAPTER 4, STA 526:CLINICAL DESIGN%
%DESCRIPTION OF SIMON's Two Stage Design:%
%SIMON's two stage design is used to evaluate the act
www.eeworm.com/read/180268/9314067
m prob_snr1.m
% This program is used to produce Fig. 2.4
close all
clear all
for nfa = 2:2:12
b = sqrt(-2.0 * log(10^(-nfa)));
index = 0;
hold on
for snr = 0:.1:18
index = index +1;
www.eeworm.com/read/179705/9341726
c cauchy.c
/* randist/cauchy.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000 James Theiler, Brian Gough
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of th
www.eeworm.com/read/178062/9420734
m betapdf.m
function y = betapdf(x,a,b)
%BETAPDF Beta probability density function.
% Y = BETAPDF(X,A,B) returns the beta probability density
% function with parameters A and B at the values in X.
%
% The s