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Spring 2006 CS 649 1 Sensor Networks
 

Summary: Spring 2006 CS 649 1
CS649
Sensor Networks
IP Track Lecture 6: Graphical Models
I-Jeng Wang
http://hinrg.cs.jhu.edu/wsn06/
Spring 2006 CS 649 2
Graphical Models
Graphical Model: A graphical representation of joint
probability distribution that encodes the conditional
independency structure of the random variables
Types of graphical models
Directed graphical models: Bayesian networks
Undirected graphical models: factor graphs, junction trees,
Markov random fields

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Source: Amir, Yair - Department of Computer Science, Johns Hopkins University

 

Collections: Computer Technologies and Information Sciences