代码搜索：Multivariate Analysis
找到约 10,000 项符合「Multivariate Analysis」的源代码
代码结果 10,000
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
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