文件名称:lungbayesdemo
介绍说明－－下载内容均来自于网络，请自行研究使用
Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference"
This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm.
Introduction:
Bayesian networks (or belief networks) are probabilistic graphical models representing a set of variables and their dependencies.
The graphical nature of Bayesian networks and the ability of describing uncertainty of complex relationships in a compact manner provide a method
for modelling almost any type of data.
This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm.
Introduction:
Bayesian networks (or belief networks) are probabilistic graphical models representing a set of variables and their dependencies.
The graphical nature of Bayesian networks and the ability of describing uncertainty of complex relationships in a compact manner provide a method
for modelling almost any type of data.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
lungbayesdemo\bnMsgPassCreate.m
.............\bnMsgPassInitiate.m
.............\bnMsgPassSendLambdaMsg.m
.............\bnMsgPassSendPiMsg.m
.............\bnMsgPassUpdate.m
.............\lungbayesdemo.docx
.............\lungbayesdemo.m
.............\lungbayesdemo.png
.............\lungbayesdemo_01.png
.............\lungbayesdemo_02.png
.............\lungbayesdemo_03.png
.............\lungbayesdemo_04.png
.............\lungbayesdemo_05.png
.............\lungbayesdemo_06.png
.............\lungbayesdemo_07.png
.............\lungbayesdemo_08.png
.............\lungbayesdemo_09.png