Graphical model: Difference between revisions

Revision as of 14:29, 18 August 2006

Revision as of 23:24, 16 October 2006

Line 22:

A good reference for learning the basics of graphical models is written by Neapolitan, Learning Bayesian networks (2004). A more advanced and statistically oriented book is by Cowell, Dawid, Lauritzen and Spiegelhalter, Probabilistic networks and expert systems (1999). See also [[belief propagation]].

==Reference==

*[http://research.microsoft.com/%7Ecmbishop/PRML/Bishop-PRML-sample.pdf Graphical models, Chapter 8 of Pattern Recognition and Machine Learning by Christopher M. Bishop]

[[Category:probability theory]]