代码搜索：multivariate
找到约 564 项符合「multivariate」的源代码
代码结果 564
www.eeworm.com/read/266962/6290230
m nfexamplefunction.m
function p = nfExampleFunction()
% nfExampleFunction - nfExampleFunction constructor
%
% The nfExampleFunctiondefines folloving nonlinear multivariate function
%
% | x1*x2+w1 | | x1 |
www.eeworm.com/read/493294/6399912
m gauss.m
%GAUSS Generation of a multivariate Gaussian dataset
%
% A = GAUSS(N,U,G,LABTYPE)
%
% INPUT
% N Array of number of objects to generate for each class
% U Dataset with means, labels a
www.eeworm.com/read/261198/11659684
m conf2mahal.m
% CONF2MAHAL - Translates a confidence interval to a Mahalanobis
% distance. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d *
www.eeworm.com/read/255755/12057259
m gauss.m
%GAUSS Generation of a multivariate Gaussian dataset
%
% A = GAUSS(N,U,G,LABTYPE)
%
% INPUT
% N Array of number of objects to generate for each class
% U Dataset with means, labels a
www.eeworm.com/read/150905/12248309
m gauss.m
%GAUSS Generation of a multivariate Gaussian dataset
%
% A = GAUSS(N,U,G,LABTYPE)
%
% INPUT
% N Array of number of objects to generate for each class
% U Dataset with means, labels a
www.eeworm.com/read/149739/12352683
m gauss.m
%GAUSS Generation of a multivariate Gaussian dataset
%
% A = GAUSS(N,U,G,LABTYPE)
%
% INPUT
% N Array of number of objects to generate for each class
% U Dataset with means, labels a
www.eeworm.com/read/13871/284413
m conf2mahal.m
% CONF2MAHAL - Translates a confidence interval to a Mahalanobis
% distance. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d *
www.eeworm.com/read/393395/2474528
m s_stresscorrelation.m
% this script evaluates the ML estimator of location and scatter under the
% multivariate t assumption by computing replicability, loss, error, bias and inefficiency
% over a stress-test set of corr
www.eeworm.com/read/147186/12578992
m conf2mahal.m
% CONF2MAHAL - Translates a confidence interval to a Mahalanobis
% distance. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d *
www.eeworm.com/read/146380/12653034
m genmix.m
function genmix(arg)
% GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE
%
% GENMIX
%
% This GUI will generate random variables using a
% finite mixture model. The user can