{"type":"ScholarlyArticle","title":"Lifted First-Order Probabilistic Inference","authors":[{"name":"Rodrigo de Salvo Braz","slug":"rodrigo-de-salvo-braz","given":"Rodrigo de Salvo","family":"Braz","affiliation":""},{"name":"Eyal Amir","slug":"eyal-amir","given":"Eyal","family":"Amir","affiliation":""},{"name":"Dan Roth","slug":"dan-roth","given":"Dan","family":"Roth","affiliation":""}],"abstract":"Most probabilistic inference algorithms are specified and processed on a propositional level. In the last decade, many proposals for algorithms accepting first-order specifications have been presented, but in the inference stage they still operate on a mostly propositional representation level. [Poole, 2003] presented a method to perform inference directly on the first-order level, but this method is limited to special cases. In this paper we present the first exact inference algorithm that operates directly on a first-order level, and that can be applied to any first-order model (specified in a language that generalizes undirected graphical models). Our experiments show superior performance in comparison with propositional exact inference.","doi":null,"url":"https://ijcai.org/proceedings/2005/204","pdf":"https://ijcai.org/proceedings/2005/0204.pdf","markdown":"https://ijcai.org/proceedings/2005/204.md","bibtex":"https://ijcai.org/proceedings/2005/bibtex/204","volume":{"slug":"2005","title":"Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2005","url":"https://ijcai.org/proceedings/2005/","year":2005,"location":"Edinburgh, Scotland, UK","dates":"","editors":"","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":204,"pages":{"first":1319,"last":1324},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}