SRL2004: Statistical Relational Learning and
 
CFP
Pointers
Contact Information 
Relations, generalizations and the referenceclass problem: A logic
programming / Bayesian perspective
David Poole Logic programs provide a rich language to specify the interdependence between relations. There has been much success with inductive logic programming finding relationships from data. There has also been considerable success with Bayesian learning. However there is a large conceptual gap in that inductive logic programming does not have any statistics. This talk will explore how to get statistics from data. This problem is known as the referenceclass problem. This talk will explore the combination of logic programming and hierarchical Bayesian models as a solution to the reference class problem. This is joint work with Michael Chiang. 
