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/356183/10235441
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/426227/10273853
m theoretical_blocking.m
%%%%%%%%%%%%理论值计算
for A=1:8;
a=0;
s=10
for n=0:s
a=a+(A)^n/factorial(n);
end
c=1/a;
p=c*((A)^s)/factorial(s);
d(A)=p;
end
SNRindB=1:8;
semilogy(SNRindB
www.eeworm.com/read/161538/10398387
m libsvmsim.m
% LIBSVMSIM Simulate Support Vector Machine.
%
% Syntax:
% y = libsvmsim(svm,x);
% [y,p] = libsvmsim(svm,x);
%
% Input Arguments:
% svm - Support vector machine (struct, described in LIBSVMOPT
www.eeworm.com/read/353873/10410882
m ui_mutate.m
function minfo = ui_mutate(chr)
% UI_MUTATE - interface for specifying mutate ratios.
% minfo = ui_mutate(chr) returns a structure with the mutation
% information for the different species. Th
www.eeworm.com/read/424281/10467630
c cauchy.c
/* randist/cauchy.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000, 2007 James Theiler, Brian Gough
*
* This program is free software; you can redistribute it and/or modify
* it under the terms
www.eeworm.com/read/424101/10492478
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
www.eeworm.com/read/424063/10499363
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/423536/10552972
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/159921/10587858
m bayescln.m
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/159921/10587875
m~ bayescln.m~
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%