PRL: A probabilistic relational language

Abstract

In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into a logic programming framework. We show how to represent varying degrees of complexity in the semantics including attribute uncertainty, structural uncertainty and identity… (More)
DOI: 10.1007/s10994-006-5831-3

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Cite this paper

@article{Getoor2006PRLAP, title={PRL: A probabilistic relational language}, author={Lise Getoor and John Grant}, journal={Machine Learning}, year={2006}, volume={62}, pages={7-31} }