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/160391/5571637
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
www.eeworm.com/read/160391/5571639
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.in
www.eeworm.com/read/160391/5571644
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
www.eeworm.com/read/160391/5571646
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.in
www.eeworm.com/read/160391/5571651
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
www.eeworm.com/read/140847/5779081
m belprop_polytree_cg.m
% Inference on a conditional Gaussian model
% Make the following polytree, where all arcs point down
% 1 2
% \ /
% 3
% / \
% 4 5
N = 5;
dag = zeros(N,N);
dag(1,3) = 1;
dag(2,3)
www.eeworm.com/read/140847/5779149
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/140847/5779570
m marginal_family_pot.m
function pot = marginal_family_pot(engine, i)
% MARGINAL_FAMILY_POT Compute the marginal on i's family and return as a potentila (inf_engine)
% function pot = marginal_family_pot(engine,i)
% This fun
www.eeworm.com/read/140847/5779597
m marginal_family.m
function marginal = marginal_family(engine, i, t)
% MARGINAL_FAMILY Compute the marginal on the specified family (jtree_unrolled_dbn)
% marginal = marginal_family(engine, i, t)
if nargin < 3, t = 1;
www.eeworm.com/read/140847/5779636
m enter_evidence.m
function [engine, loglik] = enter_evidence(engine, evidence, varargin)
% ENTER_EVIDENCE Add the specified evidence to the network (jtree_dbn)
% [engine, loglik] = enter_evidence(engine, evidence, ...)