Relational Probabilistic models reading..

[Subbarao Kambhampati <rao@asu.edu>]

for the next meeting (i.e the one after spring break), I suggest we
read about structural probabilistic relational models (and learning in
them). 

We will thus be skipping the support vector machines so that the
"learning bayes networks" part is continued uninterrupted..

In addition to the R&N discussion on SPRMS, here is another tutorial 
on this:

http://www.cs.umd.edu/~getoor/Publications/lprm-ch.ps

Rao