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/430027/8772121
c userint.c
/*************************************************************************/
/* */
/* User interface for consulting trees and rulesets */
/* -----------------------------------------------
www.eeworm.com/read/429878/8783818
htm mdnpost.htm
Netlab Reference Manual mdnpost
mdnpost
Purpose
Computes the posterior probability for each MDN mixture component.
Synopsis
www.eeworm.com/read/429878/8784173
htm mdnprob.htm
Netlab Reference Manual mdnprob
mdnprob
Purpose
Computes the data probability likelihood for an MDN mixture structure.
Syno
www.eeworm.com/read/429878/8784235
htm gmmactiv.htm
Netlab Reference Manual gmmactiv
gmmactiv
Purpose
Computes the activations of a Gaussian mixture model.
Synopsis
www.eeworm.com/read/429877/8784402
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/385468/8803798
m ltpnorm.m
function p = ltpnorm(z)
%LTPNORM Lower tail probability for standard normal distribution.
%
% P = LTPNORM(Z) returns the lower tail probability for the standard normal
% distribution function. I.
www.eeworm.com/read/427909/8912900
m dirichletpdf.m
function p = dirichletpdf(x, alpha)
%DIRICHLETPDF Dirichlet probability density function.
% p = dirichletpdf(x, alpha) returns the probability of vector
% x under the Dirichlet distribution with p
www.eeworm.com/read/383808/8916533
java ch6_e6_4.java
public class ch6_e6_4
{
public static void main(String args[])
{
final int NUMBER = 100;
int count = 10;
int randomNum = 0;
int probability[] = new int[6
www.eeworm.com/read/383607/8932801
asv finishpc2.asv
A = 0:100;
n = [1,2,10,20,30,40,50,60,70,80,90,100];
out = [];
for i = n
out = [out; PC(i, A)];
end
plot(A,out')
for i = n
text(out(50),50);
end
xlabel('A');ylabel('P(C)');
title('Blocking Pro
www.eeworm.com/read/427211/8966074
m hmm_forward.m
function [Lalpha, Lp]=hmm_forword(a, b, pi, o)
%--------------------------------------------------------------------------
%Backword algorithm
%
% [Lalpha, Lp] = hmm_forword(a,b,pi,o)
%
%