@ldietz

Learning Probabilistic Models of Relational Structure

, , , and . Proc. 18th International Conf. on Machine Learning, page 170--177. Morgan Kaufmann, San Francisco, CA, (2001)

Abstract

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 struc- ture. 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...

Links and resources

Tags

community

  • @butz
  • @ldietz
  • @machinelearning
  • @dblp
@ldietz's tags highlighted