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/240990/13180539
m cp0901_muiber_2ppm.m
%
% Function 9.3 : "cp0901_MUIBER_2PPM"
%
% Evaluates the theoretical probability of error
% for a 2PPM system in AWGN channels under the
% Standard Gaussian Approximation
%
% 'ebno' is a v
www.eeworm.com/read/325773/13185761
m cp0901_muiber_2ppm.m
%
% Function 9.3 : "cp0901_MUIBER_2PPM"
%
% Evaluates the theoretical probability of error
% for a 2PPM system in AWGN channels under the
% Standard Gaussian Approximation
%
% 'ebno' is a v
www.eeworm.com/read/137160/13342337
m costm.m
%COSTM Cost mapping, classification using costs
%
% Y = COSTM(X,C,LABLIST)
% W = COSTM([],C,LABLIST)
%
% DESCRIPTION
% Maps the classifier output X (assumed to be posterior probability
% estimate
www.eeworm.com/read/314653/13562555
m costm.m
%COSTM Cost mapping, classification using costs
%
% Y = COSTM(X,C,LABLIST)
% W = COSTM([],C,LABLIST)
%
% DESCRIPTION
% Maps the classifier output X (assumed to be posterior probability
% estimate
www.eeworm.com/read/314474/13566558
h nulllm.h
/*
* NullLM.h
* The Null Language Model
*
* This model always computes a constant log probability of zero.
* It is thus not a real model, but it can be used as a dummy when
* an LM should not pe
www.eeworm.com/read/493294/6400309
m costm.m
%COSTM Cost mapping, classification using costs
%
% Y = COSTM(X,C,LABLIST)
% W = COSTM([],C,LABLIST)
%
% DESCRIPTION
% Maps the classifier output X (assumed to be posterior probability
% estimate
www.eeworm.com/read/485721/6544982
asv lmom.asv
% lmom by Kobus N. Bekker, 14-09-2004
% Based on calculation of probability weighted moments and the coefficient
% of the shifted Legendre polynomial.
% Given nonnegative integer nL, compute the
www.eeworm.com/read/485544/6552781
m gmmactiv.m
function a = gmmactiv(mix, x)
%GMMACTIV Computes the activations of a Gaussian mixture model.
%
% Description
% This function computes the activations A (i.e. the probability
% P(X|J) of the data con
www.eeworm.com/read/483246/6601558
m qcross1.m
function ret=Qcross1(pcross,chrom,sizepop,lenchrom)
% 单点交叉
for i=1:sizepop
% probability of crossover
pick=rand;
if pick>pcross
continue; % go to next
www.eeworm.com/read/483249/6601659
m qcross1.m
function ret=Qcross1(pcross,chrom,sizepop,lenchrom)
% 单点交叉
for i=1:sizepop
% probability of crossover
pick=rand;
if pick>pcross
continue; % go to next