Lifted Probabilistic Inference with Counting Formulas

Lifted inference algorithms exploit repeated structure in probabilistic models to answer queries efficiently. Previous work such as de Salvo Braz et al.'s first-order variable elimination (FOVE) has focused on the sharing of potentials across interchangeable random variables. In this paper, we...

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Bibliographic Details
Main Authors: Milch, Brian, Zettlemoyer, Luke S., Kersting, Kristian, Haimes, Michael M., Kaelbling, Leslie P.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2014
Online Access:http://hdl.handle.net/1721.1/87041
https://orcid.org/0000-0001-6054-7145