Probabilistic Graphical Models 2 Bayesian Network Fundamentals
2013-02-26 15:28
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================Semantics & Factorization============
1.第一个简单贝叶斯网络![](http://img.my.csdn.net/uploads/201302/24/1361678344_6094.jpg)
![](http://img.my.csdn.net/uploads/201302/24/1361678372_7977.jpg)
![](http://img.my.csdn.net/uploads/201302/24/1361678377_8089.jpg)
![](http://img.my.csdn.net/uploads/201302/24/1361678380_8171.jpg)
![](http://img.my.csdn.net/uploads/201302/24/1361678383_2766.jpg)
![](http://img.my.csdn.net/uploads/201302/24/1361678388_4891.jpg)
![](http://img.my.csdn.net/uploads/201302/24/1361678392_9123.jpg)
![](http://img.my.csdn.net/uploads/201302/24/1361678412_5031.jpg)
![](http://img.my.csdn.net/uploads/201302/24/1361678417_2505.jpg)
==============Reasoning
Patterns==============
![](http://img.my.csdn.net/uploads/201302/25/1361760291_6705.jpg)
![](http://img.my.csdn.net/uploads/201302/25/1361760296_5124.jpg)
![](http://img.my.csdn.net/uploads/201302/25/1361760299_6728.jpg)
![](http://img.my.csdn.net/uploads/201302/25/1361760303_4461.jpg)
![](http://img.my.csdn.net/uploads/201302/25/1361760306_5232.jpg)
============Flow
of Probabilistic Influence=============
![](http://img.my.csdn.net/uploads/201302/25/1361762040_5285.jpg)
![](http://img.my.csdn.net/uploads/201302/25/1361762044_3097.jpg)
![](http://img.my.csdn.net/uploads/201302/25/1361762048_3747.jpg)
![](http://img.my.csdn.net/uploads/201302/25/1361762051_7308.jpg)
==============Conditional
Independence=============
D,I间无连线,相互独立
=========Independencies in Bayesian Networks==========
以上理论其实都为下图服务,可以看到条件概率被彻底约间。利用(非父亲、非儿子理论)
===============Naive Bayes==============
![](http://img.my.csdn.net/uploads/201302/26/1361859520_4506.png)
![](http://img.my.csdn.net/uploads/201302/26/1361859526_2768.png)
================Application - Medical Diagnosis=============
![](http://img.my.csdn.net/uploads/201302/26/1361860789_1664.png)
![](http://img.my.csdn.net/uploads/201302/26/1361860793_4307.png)
![](http://img.my.csdn.net/uploads/201302/26/1361860796_6517.png)
![](http://img.my.csdn.net/uploads/201302/26/1361860800_2292.png)
================Knowledge Engineering Example==================
![](http://img.my.csdn.net/uploads/201302/26/1361863634_4106.png)
![](http://img.my.csdn.net/uploads/201302/26/1361863638_8423.png)
![](http://img.my.csdn.net/uploads/201302/26/1361863642_4807.png)
![](http://img.my.csdn.net/uploads/201302/26/1361863649_7901.png)
good student对应的no accident反而降低了。注意:good
student-----》young升高,年轻人毛躁
![](http://img.my.csdn.net/uploads/201302/26/1361863653_9617.png)
![](http://img.my.csdn.net/uploads/201302/26/1361863657_1878.png)
![](http://img.my.csdn.net/uploads/201302/26/1361863661_2360.png)
注意AGE BLOCKgood students 对 Driver_quality的影响
![](http://img.my.csdn.net/uploads/201302/26/1361863666_5026.png)
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