aditya95sriram/bn-slim: NeurIPS 2021

Name: aditya95sriram/bn-slim: NeurIPS 2021
Keywords: MaxSAT, Bayesian Network Structure Learning, Exact Probabilistic Reasoning, Propositional Satisfiability

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Oct 2021 English Publisher:Zenodo

Authors: Peruvemba Ramaswamy, Vaidyanathan; Szeider, Stefan;

doi: 10.5281/zenodo.5598257

aditya95sriram/bn-slim: NeurIPS 2021

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Abstract

{"references": ["Benjumeda, Marco and Bielza, Concha and Larra\u00f1aga Pedro. Learning tractable Bayesian Networks in the space of elimination orders. Artificial Intelligence, 274:66\u201390, 2019", "Scanagatta, Mauro. BLIP \u2013 Bayesian network learning and inference package, 2015. URL: https: //ipg.idsia.ch/software/blip"]}

Version submitted to NeurIPS 2021 as a part of the paper titled Learning Fast-Inference Bayesian Networks. Implements bounded state space size Bayesian Network learning.

Also funded in part by WWTF (project ICT19-065)

Related Organizations

TU Wien
Austria

Keywords

MaxSAT, Bayesian Network Structure Learning, Exact Probabilistic Reasoning, Propositional Satisfiability

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aditya95sriram/bn-slim: NeurIPS 2021b
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