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/393163/2487833
m discrete3.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
www.eeworm.com/read/393163/2488423
m quickscore_inf_engine.m
function engine = quickscore_inf_engine(inhibit, leak, prior)
% QUICKSCORE_INF_ENGINE Exact inference for the QMR network
% engine = quickscore_inf_engine(inhibit, leak, prior)
%
% We create an infere
www.eeworm.com/read/393163/2488446
m enumerative_inf_engine.m
function engine = enumerative_inf_engine(bnet)
% ENUMERATIVE_INF_ENGINE Inference engine for fully discrete BNs that uses exhaustive enumeration.
% engine = enumerative_inf_engine(bnet)
assert(isemp
www.eeworm.com/read/160391/5571130
m discrete2.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
www.eeworm.com/read/160391/5571172
m discrete3.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
www.eeworm.com/read/160391/5571191
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
www.eeworm.com/read/160391/5571211
m kjaerulff1.m
% Compare the speeds of various inference engines on the DBN in Kjaerulff
% "dHugin: A computational system for dynamic time-sliced {B}ayesian networks",
% Intl. J. Forecasting 11:89-111, 1995.
%
www.eeworm.com/read/160391/5571603
readme
% Stable conditional Gaussian inference
% Originally written by Huang, Shan 2001
% Fixed by Rainer Deventer 2003
@techreport{Lauritzen99,
author = "S. Lauritzen and F.
www.eeworm.com/read/160391/5571709
m frontier_inf_engine.m
function engine = frontier_inf_engine(bnet)
% FRONTIER_INF_ENGINE Inference engine for DBNs which which uses the frontier algorithm.
% engine = frontier_inf_engine(bnet)
%
% The frontier algorithm
www.eeworm.com/read/334076/12642837
m rmvar.m
function [out,errorStr]=rmvar(fis,varType,varIndex, infoflag)
%RMVAR Remove variable from FIS.
% fis2 = RMVAR(fis,varType,varIndex) removes the specified
% variable from the fuzzy inference sy