Lazy Explanation-Based Approximation for Probabilistic Logic Programming

no code implementations • 10 Jul 2015 • Joris Renkens, Angelika Kimmig, Luc De Raedt

We introduce a lazy approach to the explanation-based approximation of probabilistic logic programs.

Inference and learning in probabilistic logic programs using weighted Boolean formulas

no code implementations • 25 Apr 2013 • Daan Fierens, Guy Van Den Broeck, Joris Renkens, Dimitar Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt

This paper investigates how classical inference and learning tasks known from the graphical model community can be tackled for probabilistic logic programs.