Donald J. Patterson

Research on Statistical Relational Learning at the University of Washington

Research on Statistical Relational Learning at the University of Washington Screenshot

 

This paper presents an overview of the research on learning statistical models from relational data being carried out at the University of Washington. Our work falls into five main directions: learning models of social networks; learning models of sequential relational processes; scaling up statistical relational learning to massive data sources; learning for knowledge integration; and learning programs in procedural languages. We describe some of the common themes and research issues arising from this work.(local copy)

Published in the proceedings of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data part of IJCAI-2003.

WR-04

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