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/133943/5897353
m scg_dbn.m
% Test whether stable conditional Gaussian inference works
% Make a linear dynamical system
% X1 -> X2
% | |
% v v
% Y1 Y2
intra = zeros(2);
intra(1,2) = 1;
inter = zeros(2);
int
www.eeworm.com/read/133943/5897780
m enter_evidence.m
function [engine, loglik] = enter_evidence(engine, evidence, varargin)
% ENTER_EVIDENCE Add the specified evidence to the network (jtree_unrolled_dbn)
% [engine, loglik] = enter_evidence(engine, evide
www.eeworm.com/read/133943/5897787
m enter_evidence.m
function [engine, loglik] = enter_evidence(engine, evidence, varargin)
% ENTER_EVIDENCE Add the specified evidence to the network (jtree_unrolled_dbn)
% [engine, loglik] = enter_evidence(engine, evide
www.eeworm.com/read/160391/5571213
m scg_dbn.m
% Test whether stable conditional Gaussian inference works
% Make a linear dynamical system
% X1 -> X2
% | |
% v v
% Y1 Y2
intra = zeros(2);
intra(1,2) = 1;
inter = zero
www.eeworm.com/read/160391/5571643
m enter_evidence.m
function [engine, loglik] = enter_evidence(engine, evidence, varargin)
% ENTER_EVIDENCE Add the specified evidence to the network (jtree_unrolled_dbn)
% [engine, loglik] = enter_evidence(engine, evi
www.eeworm.com/read/160391/5571650
m enter_evidence.m
function [engine, loglik] = enter_evidence(engine, evidence, varargin)
% ENTER_EVIDENCE Add the specified evidence to the network (jtree_unrolled_dbn)
% [engine, loglik] = enter_evidence(engine, evi
www.eeworm.com/read/140847/5779083
m bp1.m
% Compare different loopy belief propagation algorithms on a graph with a single loop.
% LBP should give exact results if it converges.
seed = 0;
rand('state', seed);
randn('state', seed);
N = 2;
da
www.eeworm.com/read/140847/5779126
m fg2.m
% make a factor graph corresponding to an HMM, where we absorb the evidence up front,
% and then eliminate the observed nodes.
% Compare this with not absorbing the evidence.
seed = 1;
rand('state',
www.eeworm.com/read/140847/5779441
m backt.m
function b = backT(engine, f, t)
if t==1
[b.clpot, seppot] = distribute_evidence(engine.jtree_engine1, f.clpot, f.seppot);
else
[b.clpot, seppot] = distribute_evidence(engine.jtree_engine, f.clpo
www.eeworm.com/read/140847/5779453
m backt.m
function b = backT(engine, f, t)
if t==1
[b.clpot, seppot] = distribute_evidence(engine.jtree_engine1, f.clpot, f.seppot);
else
[b.clpot, seppot] = distribute_evidence(engine.jtree_engine, f