Assignment 8 - Toolkits - (Due 10/13, Wed, 6pm):

• Recommended reading:
  
• Understanding Belief Propagation and Its Generalizations  http://www.merl.com/papers/docs/TR2001-22.pdf
• Chapter 13, Sections 13.1, 13.2, and 13.3.
• Chapter 12, Sections  12.1, 12.2, and 12.3.
  
• Required: Find at least two probabilistic graphical models tools that can be used in your projects. For each tool, provide the following information:
• Name:
  
• URL:
• Handles directed, undirected, or chain (mixed) graphs:
• Learns parameters:
• Learns structure:
• Has a GUI:
• Platform (Windows, Linux, Mac):
  
• Limitations/Concerns:
• 
  
• Here are two examples (please don't use these):
• 
  
• Name: Hugin
  
• URL: http://www.hugin.com/
  
• Handles directed, undirected, or chain graphs: I think it supports only Directed.
  
• Learns parameters: Yes
  
• Learns structure: Yes
  
• Has a GUI: Yes
  
• Platform (Windows, Linux, Mac): Windows, Linux, Solaris, Mac.
  
• Limitations/Concerns: The full version is not free. The demo version is limited to 50 variables and 500 cases.
• 
  
• Name: Bayes Net Toolbox for Matlab
  
• URL: http://code.google.com/p/bnt/
  
• Handles directed, undirected, or chain graphs: I think it supports only Directed.
• Learns parameters: Yes
  
• Learns structure: Yes
  
• Has a GUI: Yes
  
• Platform (Windows, Linux, Mac): Matlab
  
• Limitations/Concerns: None that I know.
  

• Turn-in your assignment by email by 6pm on Wednesday, 10/13.