Lazy Explanation-Based Approximation for Probabilistic Logic Programming

Joris Renkens; Angelika Kimmig; Luc De Raedt

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arXiv · 1507.02873

Lazy Explanation-Based Approximation for Probabilistic Logic Programming

Joris Renkens·Angelika Kimmig·Luc De Raedt

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Abstract

We introduce a lazy approach to the explanation-based approximation of probabilistic logic programs. It uses only the most significant part of the program when searching for explanations. The result is a fast and anytime approximate inference algorithm which returns hard lower and upper bounds on the exact probability. We experimentally show that this method outperforms state-of-the-art approximate inference.

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Joris Renkens, Angelika Kimmig, Luc De Raedt. 2015-07-10. Lazy Explanation-Based Approximation for Probabilistic Logic Programming. https://arxiv.org/abs/1507.02873

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