Title: ProbLog and its application to link mining in biological networks
Authors: De Raedt, Luc # ×
Issue Date: 2007
Conference: International Workshop on Mining and Learning with Graphs (MLG) edition:5 location:Florence, Italy date:August 1-3, 2007
Abstract: ProbLog is a recently introduced probabilistic extension of Prolog [De Raedt, Kimmig, Toivonen, IJCAI 07]. A ProbLog program defines a distribution over logic programs by specifying for each clause the probability that it belongs to a randomly sampled program, and these probabilities are mutually independent. The semantics of ProbLog is then defined by the success probability of a query in a randomly sampled program. It has been applied to link mining and discovery in a large biological network. In the talk, I will also discuss various learning settings for ProbLog and link mining, in particular, I shall present techniques for probabilistic local pattern mining, probabilistic explanation based learning [Kimmig, De Raedt, Toivonen, ECML 07] and theory compression from examples [De Raedt et al, ILP 96].
This is joint work with Angelika Kimmig, Hannu Toivonen, Kate Revoredo and Kristian Kersting.
Description: Invited talk
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.


All items in Lirias are protected by copyright, with all rights reserved.