Lise Getoor

From GM-RKB
Jump to: navigation, search

Lise Getoor is a person.



References

2015

2013

2012

2009

2008

2007

2006

2005

2004

2002

2000

  • (Getoor, 2000) ⇒ Lise Getoor. (2000). “Learning Probabilistic Relational Models.” In: 4th International Symposium on Abstraction, Reformulation, and Approximation (SARA 2000). doi:10.1007/3-540-44914-0.
    • ABSTRACT: My work is on learning Probabilistic Relational Models (PRMs) from structured data (e.g., data in a relational database, an object-oriented database or a frame-based system). This work has as a starting point the framework of Probabilistic Relational Models, introduced in [5, 7]. We adapt and extend the machinery that has been developed over the years for learning Bayesian networks from data [1, 4, 6] to the task of learning PRMs from structured data. At the heart of this work is a search algorithm that explores the space of legal models using search operators that abstract or refine the model.

1999