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/442444/7651680

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector) and covariance matrix C. N=length(m); for
www.eeworm.com/read/439811/7701540

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector) and covariance matrix C. N=length(m); for
www.eeworm.com/read/244937/12831156

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector) and covariance matrix C. N=length(m); for
www.eeworm.com/read/243898/12908155

m gaussian_prob.m

function p = gaussian_prob(x, m, C, use_log) % GAUSSIAN_PROB Evaluate a multivariate Gaussian density. % p = gaussian_prob(X, m, C, use_log) % % p(i) = N(X(:,i), m, C) if use_log = 0 (default) % p(i)
www.eeworm.com/read/321160/13411544

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector), and covariance matrix C. N=length(m); for i=1:
www.eeworm.com/read/321050/13412943

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector) and covariance matrix C. N=length(m); for
www.eeworm.com/read/313963/13577829

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector) and covariance matrix C. N=length(m); for
www.eeworm.com/read/313956/13577856

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector), and covariance matrix C. N=length(m); for
www.eeworm.com/read/312588/13608608

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector), and covariance matrix C. N=length(m); for
www.eeworm.com/read/308596/13699261

m multi_gp.m

function [x] = multi_gp(m,C) % [x]=multi_gp(m,C) % MULTI_GP generates a multivariate Gaussian random % process with mean vector m (column vector) and covariance matrix C. N=length(m); for