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/133943/5897269
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/133943/5897312
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/133943/5897624
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/133943/5897636
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
www.eeworm.com/read/160391/5571123
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
www.eeworm.com/read/160391/5571168
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('st
www.eeworm.com/read/160391/5571487
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
www.eeworm.com/read/160391/5571499
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
www.eeworm.com/read/140847/5779151
m gaussian2.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/140847/5779445
m backt_mpe.m
function [b, mpe] = backT_mpe(engine, f, ev2, t)
bnet = bnet_from_engine(engine);
ss = bnet.nnodes_per_slice;
if t==1
% ev2 is just the evidence on slice 1
[mpe, b.clpot] = find_max_confi