Turbocharging Treewidth-Bounded Bayesian Network Structure Learning

Vaidyanathan P. R.; Stefan Szeider

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arXiv · 2006.13843

Turbocharging Treewidth-Bounded Bayesian Network Structure Learning

Vaidyanathan P. R.·Stefan Szeider

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Abstract

We present a new approach for learning the structure of a treewidth-bounded Bayesian Network (BN). The key to our approach is applying an exact method (based on MaxSAT) locally, to improve the score of a heuristically computed BN. This approach allows us to scale the power of exact methods -- so far only applicable to BNs with several dozens of random variables -- to large BNs with several thousands of random variables. Our experiments show that our method improves the score of BNs provided by state-of-the-art heuristic methods, often significantly.

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Vaidyanathan P. R., Stefan Szeider. 2020-06-24. Turbocharging Treewidth-Bounded Bayesian Network Structure Learning. https://arxiv.org/abs/2006.13843

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