代码搜索:Probability

找到约 4,670 项符合「Probability」的源代码

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hpp mixturepdf.hpp

#ifndef INDII_ML_AUX_MIXTUREPDF_HPP #define INDII_ML_AUX_MIXTUREPDF_HPP #include "Pdf.hpp" #include namespace indii { namespace ml { namespace aux { /** * Mixture probability d
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pl testfrp.pl

#!/usr/bin/perl -w use strict 'refs'; use strict 'subs'; if ($#ARGV != 2) { &usage; exit; } sub usage { print STDERR " usage: $0 \n"; exit; } my $p = $ARGV[1]
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m qgauss.m

function y=QGauss(x) % % computes the abscissae y for given probability x % for a standard Gaussian % this is 1-F(x) % % x: real col vector of right-tail probs % y: real column vector of abscissae
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m bdt_f533.m

% MATLAB script that generates the probability of error versus the signal to noise ratio. initial_snr=0; final_snr=12; snr_step=0.75; tolerance=eps; % Tolerance used for the integration plus_
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m bdt_f531.m

% MATLAB script that generates the probability of error versus the signal to noise ratio. initial_snr=0; final_snr=12; snr_step=0.75; tolerance=eps; % Tolerance used for the integration plus_
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m bdt_f533.m

% MATLAB script that generates the probability of error versus the signal to noise ratio. initial_snr=0; final_snr=12; snr_step=0.75; tolerance=eps; % Tolerance used for the integration plus_
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m bdt_f531.m

% MATLAB script that generates the probability of error versus the signal to noise ratio. initial_snr=0; final_snr=12; snr_step=0.75; tolerance=eps; % Tolerance used for the integration plus_
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m bdt_f533.m

% MATLAB script that generates the probability of error versus the signal to noise ratio. initial_snr=0; final_snr=12; snr_step=0.75; tolerance=eps; % Tolerance used for the integration plus_
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m bdt_f531.m

% MATLAB script that generates the probability of error versus the signal to noise ratio. initial_snr=0; final_snr=12; snr_step=0.75; tolerance=eps; % Tolerance used for the integration plus_
www.eeworm.com/read/132953/14065217

m bdt_f533.m

% MATLAB script that generates the probability of error versus the signal to noise ratio. initial_snr=0; final_snr=12; snr_step=0.75; tolerance=eps; % Tolerance used for the integration plus_