代码搜索:Sampling

找到约 3,969 项符合「Sampling」的源代码

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c sampling.c

#include #include #include #define ENABLE 0x80 // CEN #define SAMPLING_PRD 1440 // quarter-second sampling rate #pragma interrupt void isrTimer1(vo
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c sampling.c

/*--------------------------------------------------------------------------- * sampling transformation * ---------------------------------------------------------------------------*/ #include
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c~ sampling.c~

/*--------------------------------------------------------------------------- * Arnold transformation * ---------------------------------------------------------------------------*/ #include
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hpp sampling.hpp

#ifndef ULAPACK_SAMPLING_HPP_ #define ULAPACK_SAMPLING_HPP_ namespace ulapack { namespace ublas = boost::numeric::ublas; class GaussLikelihood { public: GaussLikelihood(const Vector &
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cpp sampling.cpp

#include #include #include "cholesky.hpp" #include "lufactor.hpp" #include "matrix_types.hpp" #include "sampling.hpp" using namespace std; using names
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c sampling.c

/* **************************************************************************************************** ** **
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m sampling.m

function [pool,expected,normfitness]=sampling(pop,params,state,opnum) %SAMPLING Draws individuals for parenthood in the GPLAB algorithm. % SAMPLING(POPULATION,PARAMS,STATE,OPNUM) returns a pool
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m sampling.m

% Name: sampling.m % clear,close all, t=-1:0.01:1; n=-10:10; x1=sin(pi*t)+sin(2*pi*t); x2=sin(pi*n*0.1)+sin(2*pi*n*0.1); subplot(221) plot(t,x1) %axis([0,2000,0,1.2]) grid on,title('The si
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m sampling.m

function [Itrain , Itest , Ivalid] = sampling(X , y , options); % Various Data sampling methods for evaluate Classifier Performances. % % X : data (d x N) % y
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gif sampling.gif