ProbLog and its Application to Link Mining in Biological Networks
published: Aug. 27, 2007, recorded: August 2007, views: 471
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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.
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