代码搜索：Sampling

找到约 3,969 项符合「Sampling」的源代码

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m demprgp.m

function demprgp(action); %DEMPRGP Demonstrate sampling from a Gaussian Process prior. % % Description % This function plots the functions represented by a Gaussian Process % model. The hyperparameter
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www.eeworm.com/read/339665/12211367

m demgauss.m

%DEMGAUSS Demonstrate sampling from Gaussian distributions. % % Description % % DEMGAUSS provides a simple illustration of the generation of data % from Gaussian distributions. It first samples from a
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www.eeworm.com/read/150905/12249969

m demprgp.m

function demprgp(action); %DEMPRGP Demonstrate sampling from a Gaussian Process prior. % % Description % This function plots the functions represented by a Gaussian Process % model. The hyperparameter
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www.eeworm.com/read/150905/12249985

m demgauss.m

%DEMGAUSS Demonstrate sampling from Gaussian distributions. % % Description % % DEMGAUSS provides a simple illustration of the generation of data % from Gaussian distributions. It first samples from a
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www.eeworm.com/read/226035/14502560

h moog.h

/***************************************************/ /*! \class Moog \brief STK moog-like swept filter sampling synthesis class. This instrument uses one attack wave, one looped wave, an
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www.eeworm.com/read/226035/14502839

cpp moog.cpp

/***************************************************/ /*! \class Moog \brief STK moog-like swept filter sampling synthesis class. This instrument uses one attack wave, one looped wave, an
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www.eeworm.com/read/224759/14568416

m lexictour.m

function [indid,indindex,popexpected,popnormfitness]=lexictour(pop,params,state,nsample,toavoid) %LEXICTOUR Sampling of GPLAB individuals by lexicographic parsimony tournament. % LEXICTOUR(POP,
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www.eeworm.com/read/124283/14579320

texi montecarlo.texi

@cindex Monte Carlo integration @cindex stratified sampling in monte carlo integration This chapter describes routines for multidimensional Monte Carlo integration. These include the traditional Mont
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www.eeworm.com/read/220289/14843769

m demprgp.m

function demprgp(action); %DEMPRGP Demonstrate sampling from a Gaussian Process prior. % % Description % This function plots the functions represented by a Gaussian Process % model. The hyperparameter
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www.eeworm.com/read/220289/14843775

m demgauss.m

%DEMGAUSS Demonstrate sampling from Gaussian distributions. % % Description % % DEMGAUSS provides a simple illustration of the generation of data % from Gaussian distributions. It first samples from a
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