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/287843/8665699

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/431603/8666110

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/184267/9114011

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/164422/10108693

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/424063/10499049

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/423536/10552701

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/467324/7009701

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/463748/7176034

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/456354/7351378

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/445827/7589601

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