Bottom-up learning of Markov logic network structure

Abstract

Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current state-of-the-art algorithm for learning MLN structure follows a top-down paradigm where many potential candidate structures are systematically generated without considering the data… (More)
DOI: 10.1145/1273496.1273575

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@inproceedings{Mihalkova2007BottomupLO, title={Bottom-up learning of Markov logic network structure}, author={Lilyana Mihalkova and Raymond J. Mooney}, booktitle={ICML}, year={2007} }