Lifted Weight Learning of Markov Logic Networks Revisited
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Proceedings of Machine Learning Research, PMLR 89:17531761, 2019.
Abstract
We study lifted weight learning of Markov logic networks. We show that there is an algorithm for maximumlikelihood learning of 2variable Markov logic networks which runs in time polynomial in the domain size. Our results are based on existing liftedinference algorithms and recent algorithmic results on computing maximum entropy distributions.
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