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Lifted Weight Learning of Markov Logic Networks Revisited
March 07, 2019 Β· Declared Dead Β· π International Conference on Artificial Intelligence and Statistics
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Authors
Ondrej Kuzelka, Vyacheslav Kungurtsev
arXiv ID
1903.03099
Category
cs.AI: Artificial Intelligence
Citations
7
Venue
International Conference on Artificial Intelligence and Statistics
Last Checked
4 months ago
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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