arXiv · 1903.03099
Lifted Weight Learning of Markov Logic Networks Revisited
Abstract
We study lifted weight learning of Markov logic networks. We show that there is an algorithm for maximum-likelihood learning of 2-variable Markov logic networks which runs in time polynomial in the domain size. Our results are based on existing lifted-inference algorithms and recent algorithmic results on computing maximum entropy distributions.
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Ondrej Kuzelka, Vyacheslav Kungurtsev. 2019-03-07. Lifted Weight Learning of Markov Logic Networks Revisited. https://arxiv.org/abs/1903.03099
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