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/140847/5779078
m belprop_polytree_discrete.m
% 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) = 1;
dag(3, [4 5]) = 1;
ns = 2*ones(1,N); % binary nodes
www.eeworm.com/read/133943/5897264
m belprop_polytree_discrete.m
% 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) = 1;
dag(3, [4 5]) = 1;
ns = 2*ones(1,N); % binary nodes
www.eeworm.com/read/347853/11631314
pro ex6.pro
/* Expert System Shell */
include"resort.pro"
predicates
inference(data_type,integer)
getresponse(integer)
get_first(data_list,data_type,data_list)
process(data_type)
www.eeworm.com/read/347853/11631319
pro ex4.pro
/* Expert System Shell */
include"resort.pro"
predicates
inference(data_type,integer)
getresponse(integer)
get_first(data_list,data_type,data_list)
process(data_type)
www.eeworm.com/read/347853/11631484
pro ex5.pro
trace
/* Expert System Shell */
include"resort.pro"
predicates
inference(data_type,integer)
getresponse(integer)
get_first(data_list,data_type,data_list)
process(data_ty
www.eeworm.com/read/338238/12317187
h logmeanfield.h
#include "MeanField.h"
#ifndef __LOG_MEAN_FIELD__
#define __LOG_MEAN_FIELD__
class LogMeanField : public MeanField {
/**
This class makes inference using mean-field approximation in the log-
www.eeworm.com/read/338238/12317320
h logloopy.h
#include "Loopy.h"
#ifndef __LOG_LOOPY__
#define __LOG_LOOPY__
class LogLoopy : public Loopy {
/**
This class makes inference using Loopy Belief Propagation algorithm
in log-space
www.eeworm.com/read/160391/5571118
m belprop_polytree_discrete.m
% 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) = 1;
dag(3, [4 5]) = 1;
ns = 2*ones(1,N);
www.eeworm.com/read/422570/10629625
makefile
# (C) Copyright 2004, David M. Blei (blei [at] cs [dot] cmu [dot] edu)
# This file is part of LDA-C.
# LDA-C is free software; you can redistribute it and/or modify it under
# the terms of the GNU G
www.eeworm.com/read/140847/5779554
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
% -