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/133943/5897736
m var_elim_inf_engine.m
function engine = var_elim_inf_engine(bnet, varargin)
% VAR_ELIM_INF_ENGINE Variable elimination inference engine
% engine = var_elim_inf_engine(bnet)
%
% For details on variable elimination, see
% -
www.eeworm.com/read/338238/12317286
h logloopystime.h
#include "LoopySTime.h"
#ifndef __LOG_LOOPY_SAVE_TIME__
#define __LOG_LOOPY_SAVE_TIME__
class LogLoopySTime : public LoopySTime {
/**
This class makes inference using Loopy Belief Propagatio
www.eeworm.com/read/160391/5571600
m var_elim_inf_engine.m
function engine = var_elim_inf_engine(bnet, varargin)
% VAR_ELIM_INF_ENGINE Variable elimination inference engine
% engine = var_elim_inf_engine(bnet)
%
% For details on variable elimination, see
www.eeworm.com/read/417524/10986572
pdf adsp .ieee.23bayesian inference for dynamic models with dirichlet process mixtures.pdf
www.eeworm.com/read/140847/5779076
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/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/133943/5897262
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/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/347853/11631323
pro ex1.pro
/* Expert System Shell */
include"resort.pro"
predicates
inference(data_type,integer)
process_facts(data_list,integer)
getresponse(integer)
get_first(data_list,data_type)
www.eeworm.com/read/160391/5571116
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