代码搜索：multivariate

找到约 564 项符合「multivariate」的源代码

代码结果 564
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m amde.m

% Adaptive Mixtures Density Estimation % % [WTS,MUS,VARS,NTERMS] = AMDE(DATA,MT,TC) % % This implements the multivariate adaptive mixtures density % estimation procedure. It returns the mod
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www.eeworm.com/read/102885/15753325

txt readme.txt

ANALYZING MULTIVARIATE DATA (AMD) by Lattin, Carroll and Green CD-ROM This CD-ROM contains the data files used throughout the AMD textbook. Thes
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m contents.m

% % Regression Toolbox for Matlab - Version 1.1 % % See "Multivariate Regression - Techniques and Tools" % HUT Control Engineering Laboratory, Report 125, 2003 (2nd edition) % % Heikki Hyotyni
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www.eeworm.com/read/182374/9205779

m rungaussianeda.m

function[Max,k,BestSolutions]=RunGaussianEDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,InitValues,Complex,ConstraintCheck,Elitism) % Gaussian EDA. Use the univariate and multivariate models to appr
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www.eeworm.com/read/182374/9205792

m gassianeda.m

function[Max,k,BestSolutions]=GassUMDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,InitValues,Complex,ConstraintCheck) % Gaussian EDA. Use the univariate and multivariate models to approximate contin
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m rungaussianeda.m

function[Max,k,BestSolutions]=RunGaussianEDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,InitValues,Complex,ConstraintCheck,Elitism) % Gaussian EDA. Use the univariate and multivariate models to appr
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www.eeworm.com/read/182374/9205832

m gassumda.m

function[Max,k,BestSolutions]=GassUMDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,InitValues,Complex,ConstraintCheck) % Gaussian EDA. Use the univariate and multivariate models to approximate conti
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www.eeworm.com/read/375212/9368924

m plsrsgn.m

function coeff = plsrsgn(data,lv) %PLSRSGN Generates a matrix of PLS models for MSPC % This function constructs a matrix of PLS models that % can be used like a PCA model for multivariate statist
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www.eeworm.com/read/375212/9369186

m gareadme.m

echo on % GAREADME Release notes for GENALG in PLS_Toolbox 1.5 % September 2, 1995 % % The function GENALG uses a genetic algorithm to select variables % for multivariate calibration models. The
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www.eeworm.com/read/361768/10036498

m cc_mvgarch.m

function [parameters, loglikelihood, R ,Ht, likelihoods, stdresid, unistdresid, hmat, stderrors, A, B, jointscores]=cc_mvgarch(data,archP,garchQ) % PURPOSE: % Estimates a multivariate GARCH m
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