代码搜索：vector-valued
找到约 28 项符合「vector-valued」的源代码
代码结果 28
www.eeworm.com/read/140847/5779091
m gaussian1.m
% Make the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
N = 9;
dag = zeros(N,N);
dag(1,2)=1; d
www.eeworm.com/read/133943/5897277
m gaussian1.m
% Make the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
N = 9;
dag = zeros(N,N);
dag(1,2)=1; d
www.eeworm.com/read/160391/5571131
m gaussian1.m
% Make the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
N = 9;
dag = zeros(N,N);
www.eeworm.com/read/140847/5779122
m cg2.m
% Conditional Gaussian network with vector-valued nodes and random params
ns = 2*ones(1,9);
bnet = mk_incinerator_bnet(ns);
engines = {};
%engines{end+1} = stab_cond_gauss_inf_engine(bnet);
engines
www.eeworm.com/read/133943/5897308
m cg2.m
% Conditional Gaussian network with vector-valued nodes and random params
ns = 2*ones(1,9);
bnet = mk_incinerator_bnet(ns);
engines = {};
%engines{end+1} = stab_cond_gauss_inf_engine(bnet);
engines
www.eeworm.com/read/160391/5571164
m cg2.m
% Conditional Gaussian network with vector-valued nodes and random params
ns = 2*ones(1,9);
bnet = mk_incinerator_bnet(ns);
engines = {};
%engines{end+1} = stab_cond_gauss_inf_engine(bnet);
www.eeworm.com/read/464335/7165197
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtain
www.eeworm.com/read/451385/7466230
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtain
www.eeworm.com/read/141692/12990905
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtain
www.eeworm.com/read/328976/12991385
m ut.m
% UT - The Unscented Transform method of approximating noisy nonlinear
% functions of Gaussians as affine with Gaussian noise.
%
% Let f(x, z) be a vector-valued function where z is