代码搜索：Inference
找到约 1,820 项符合「Inference」的源代码
代码结果 1,820
www.eeworm.com/read/292964/3937047
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/292964/3937441
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/292964/3937469
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/292964/3937687
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/292964/3937719
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/449042/1682905
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/449042/1682966
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/446978/1707734
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/434858/1867877
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/434858/1867950
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;