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 */ /* -----------------------------------------------
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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;
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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'
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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
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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