Learning Probabilistic Models of Relational Structure

@inproceedings{Getoor2001LearningPM,
  title={Learning Probabilistic Models of Relational Structure},
  author={Lise Getoor and Nir Friedman and Daphne Koller and Ben Taskar},
  booktitle={ICML},
  year={2001}
}
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with “flat” data representations, forcing us to convert our data into a form that loses much of the relational structure. The recently introduced framework of probabilistic relational models (PRMs) allows us to represent probabilistic models over multiple entities that utilize the relations between them. In this paper, we propose the use of probabilistic models not only for the attributes in a… CONTINUE READING
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