Basics of Belief Propagation

Add to your list(s) Download to your calendar using vCal

• Philip Sterne (University of Cambridge)
• Monday 29 October 2007, 11:15-12:15
• TCM Seminar Room, Cavendish Laboratory, Department of Physics.

If you have a question about this talk, please contact Philip Sterne.

Another tutorial session this time focusing on Belief Propagation. I suggest reading Chapter 8 from Bishop’s Pattern Recognition and Machine Learning (conveniently available online here )

It is a good idea to have a simple network to keep things concrete so I suggest looking at the “Asia” Bayesian network (first introduced by Lauritzen and Spiegelhalter – 1999) available here (which also shows that nothing ever dies on the web!)

This talk is part of the Machine Learning Journal Club series.

This talk is included in these lists:

• Cambridge talks
• Guy Emerson's list
• Hanchen DaDaDash
• Inference Group Journal Clubs
• Inference Group Summary
• Interested Talks
• ML
• Machine Learning Journal Club
• Machine Learning Summary
• Quantum Matter Journal Club
• TCM Seminar Room, Cavendish Laboratory, Department of Physics
• TQS Journal Clubs
• rp587
• yk373's list

Note that ex-directory lists are not shown.