An extended view on lifting Gaussian Bayesian networks

Published: 01 Jan 2024, Last Modified: 17 Dec 2024Artif. Intell. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Unifying view on existing work for lifting Gaussian Bayesian network with increased level of detail and a running example.•New lifted query answering algorithm working with grouping of evidence including a definition of liftability for queries.•A complexity analysis and an experimental evaluation showcasing time-savings compared to the ground algorithm.
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