代码搜索：Inference
找到约 1,820 项符合「Inference」的源代码
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www.eeworm.com/read/197905/5091073
m water2.m
% Compare the speeds of various inference engines on the water DBN
seed = 0;
rand('state', seed);
randn('state', seed);
bnet = mk_water_dbn;
T = 3;
engine = {};
engine{end+1} = smoother_e
www.eeworm.com/read/197905/5091466
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/197905/5091494
m belprop_fg_inf_engine.m
function engine = belprop_fg_inf_engine(fg, varargin)
% BELPROP_FG_INF_ENGINE Make a belief propagation inference engine for factor graphs
% engine = belprop_fg_inf_engine(factor_graph, ...)
%
% The
www.eeworm.com/read/197905/5091710
m hmm_inf_engine.m
function engine = hmm_inf_engine(bnet, varargin)
% HMM_INF_ENGINE Inference engine for DBNs which uses the forwards-backwards algorithm.
% engine = hmm_inf_engine(bnet, ...)
%
% The following optional
www.eeworm.com/read/197905/5091742
m jtree_dbn_inf_engine.m
function engine = jtree_dbn_inf_engine(bnet, varargin)
% JTREE_DBN_INF_ENGINE Junction tree inference algorithm for DBNs.
% engine = jtree_inf_engine(bnet, ...)
%
% The following optional arguments ca
www.eeworm.com/read/180459/5283809
java tuple.java
//: net/mindview/util/Tuple.java
// Tuple library using type argument inference.
package net.mindview.util;
public class Tuple {
public static TwoTuple tuple(A a, B b) {
return
www.eeworm.com/read/346158/3189419
m scg3.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/346158/3189523
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/346158/3189561
m chmm1.m
% Compare the speeds of various inference engines on a coupled HMM
N = 2;
Q = 2;
rand('state', 0);
randn('state', 0);
discrete = 1;
if discrete
Y = 2; % size of output alphabet
else
Y = 1;
end
co
www.eeworm.com/read/346158/3189659
m water2.m
% Compare the speeds of various inference engines on the water DBN
seed = 0;
rand('state', seed);
randn('state', seed);
bnet = mk_water_dbn;
T = 3;
engine = {};
engine{end+1} = smoother_e