Model Construction Algorithms for Object Oriented Probabilistic Relational Models

Catherine Howard, Markus Stumptner

This paper presents three new algorithms for the automatic construction of models from Object Oriented Probabilistic Relational Models. The first two algorithms are based on the knowledge based model construction approach while the third is based on an Object Oriented Bayesian Network instance tree triangulation method. We discuss the strengths and limitations of each of the algorithms and compare their performance against the knowledge based model construction and Structured Variable Elimination algorithms developed for Probabilistic Relational Models.

Subjects: 3.4 Probabilistic Reasoning; 3. Automated Reasoning

Submitted: Feb 20, 2006

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