Article details

: Lifted discriminative learning of probabilistic logic programs.

: In Nicolas Lachiche and Christel Vrain, editors, 27th International Conference on Inductive Logic Programming, ILP 2017, 2017.

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In this paper we consider Probabilistic logic programming (PLP) models that
are amenable to lifted inference, called liftable PLP, and present an algorithm for performing parameter and structure learning of these models from data. We discuss parameter learning with EM and LBFGS and structure learning with LIFTCOVER, an algorithm similar to SLIPCOVER.

Published at: 27th International Conference on Inductive Logic Programming, ILP 2017, 2017

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