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19th September 2005 — Statistical relational learning

Charles Kemp, and Zoubin will lead discussions on statistical relational learning. Here are two papers:

Probabilistic Models for Relational Data. D. Heckerman, C. Meek, and D. Koller. Technical Report MSR-TR-2004-30.

Markov Logic: A unifying framework for statistical relational learning

PRM examples came from:

• Learning Probabilistic Relational Models, L. Getoor, N. Friedman, D. Koller, and A. Pfeffer. Invited contribution to the book Relational Data Mining, S. Dzeroski and N. Lavrac, Eds., Springer-Verlag, 2001.
• Learning Probabilistic Models of Link Structure, L. Getoor, N. Friedman, D. Koller, B. Taskar, Journal of Machine Learning Research, 2002.

An application of Markov Logic can be found in:

• M. Richardson and P. Domigos, Markov Logic Networks, Machine Learning. To appear.

Iain Murray.