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/197905/5091515

m gaussian_inf_engine.m

function engine = gaussian_inf_engine(bnet) % GAUSSIAN_INF_ENGINE Computes the joint multivariate Gaussian corresponding to the bnet % engine = gaussian_inf_engine(bnet) % % For details on how to comp
www.eeworm.com/read/346158/3190101

m gaussian_inf_engine.m

function engine = gaussian_inf_engine(bnet) % GAUSSIAN_INF_ENGINE Computes the joint multivariate Gaussian corresponding to the bnet % engine = gaussian_inf_engine(bnet) % % For details on how to comp
www.eeworm.com/read/311722/3678125

m collect.m

function [e,c] = collect(e,c) %COLLECT Collect common exponents in e for multivariate polynomials % %On input, % e m x n array of exponents, possibly with rows occuring several times % c
www.eeworm.com/read/292984/3936342

m gaussian_inf_engine.m

function engine = gaussian_inf_engine(bnet) % GAUSSIAN_INF_ENGINE Computes the joint multivariate Gaussian corresponding to the bnet % engine = gaussian_inf_engine(bnet) % % For details on how to comp
www.eeworm.com/read/292964/3937490

m gaussian_inf_engine.m

function engine = gaussian_inf_engine(bnet) % GAUSSIAN_INF_ENGINE Computes the joint multivariate Gaussian corresponding to the bnet % engine = gaussian_inf_engine(bnet) % % For details on how to comp
www.eeworm.com/read/434858/1868302

m gaussian_inf_engine.m

function engine = gaussian_inf_engine(bnet) % GAUSSIAN_INF_ENGINE Computes the joint multivariate Gaussian corresponding to the bnet % engine = gaussian_inf_engine(bnet) % % For details on how to comp
www.eeworm.com/read/396844/2407266

m gaussian_inf_engine.m

function engine = gaussian_inf_engine(bnet) % GAUSSIAN_INF_ENGINE Computes the joint multivariate Gaussian corresponding to the bnet % engine = gaussian_inf_engine(bnet) % % For details on how to comp
www.eeworm.com/read/393163/2488437

m gaussian_inf_engine.m

function engine = gaussian_inf_engine(bnet) % GAUSSIAN_INF_ENGINE Computes the joint multivariate Gaussian corresponding to the bnet % engine = gaussian_inf_engine(bnet) % % For details on how to comp
www.eeworm.com/read/173076/9675418

m mvnormrnd.m

% MVNORMRND - Multivariate Normal - Random Number Generation % Copyright (c) 1998, Harvard University. Full copyright in the file Copyright % % Y = mvnormrnd(mu, sigma, n) % % mu = p by 1 mean col
www.eeworm.com/read/267609/11170919

m mvnormrnd.m

% MVNORMRND - Multivariate Normal - Random Number Generation % Copyright (c) 1998, Harvard University. Full copyright in the file Copyright % % Y = mvnormrnd(mu, sigma, n) % % mu = p by 1 mean col