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/476069/6773286
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/392854/8322481
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/173140/9670847
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/171238/9765113
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/414455/11111566
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/268231/11149010
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/147096/12583546
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/300562/13905734
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/300086/13936329
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/132953/14065346
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: