代码搜索：JTree
找到约 1,656 项符合「JTree」的源代码
代码结果 1,656
www.eeworm.com/read/133943/5897334
m discrete1.m
% Compare various inference engines on 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;
www.eeworm.com/read/133943/5897356
m bat1.m
% Compare the speeds of various inference engines on the BAT DBN
[bnet, names] = mk_bat_dbn;
T = 3; % fixed length sequence - we make it short just for speed
USEC = exist('@jtree_C_inf_engine/collec
www.eeworm.com/read/133943/5897656
m cond_gauss_inf_engine.m
function engine = cond_gauss_inf_engine(bnet)
% COND_GAUSS_INF_ENGINE Conditional Gaussian inference engine
% engine = cond_gauss_inf_engine(bnet)
%
% Enumerates all the discrete roots, and runs jtree
www.eeworm.com/read/133943/5897774
m marginal_family.m
function marginal = marginal_family(engine, i, t, add_ev)
% MARGINAL_FAMILY Compute the marginal on the specified family (jtree_unrolled_dbn)
% marginal = marginal_family(engine, i, t)
if nargin < 3,
www.eeworm.com/read/133943/5897776
m update_engine.m
function engine = update_engine(engine, newCPDs)
% UPDATE_ENGINE Update the engine to take into account the new parameters (jtree_unrolled_dbn)
% engine = update_engine(engine, newCPDs)
engine.inf_en
www.eeworm.com/read/133943/5897781
m marginal_family.m
function marginal = marginal_family(engine, i, t, add_ev)
% MARGINAL_FAMILY Compute the marginal on the specified family (jtree_unrolled_dbn)
% marginal = marginal_family(engine, i, t)
if nargin < 3,
www.eeworm.com/read/133943/5897783
m update_engine.m
function engine = update_engine(engine, newCPDs)
% UPDATE_ENGINE Update the engine to take into account the new parameters (jtree_unrolled_dbn)
% engine = update_engine(engine, newCPDs)
engine.inf_en
www.eeworm.com/read/133943/5897788
m marginal_family.m
function marginal = marginal_family(engine, i, t, add_ev)
% MARGINAL_FAMILY Compute the marginal on the specified family (jtree_unrolled_dbn)
% marginal = marginal_family(engine, i, t)
if nargin < 3,
www.eeworm.com/read/160391/5571216
m bat1.m
% Compare the speeds of various inference engines on the BAT DBN
[bnet, names] = mk_bat_dbn;
T = 3; % fixed length sequence - we make it short just for speed
USEC = exist('@jtree_C_inf_engine/c
www.eeworm.com/read/160391/5571519
m cond_gauss_inf_engine.m
function engine = cond_gauss_inf_engine(bnet)
% COND_GAUSS_INF_ENGINE Conditional Gaussian inference engine
% engine = cond_gauss_inf_engine(bnet)
%
% Enumerates all the discrete roots, and runs j