{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-comparison-of-lauritzen-spiegelhalter-hugin","title":"A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions","arxiv_id":"1301.7394","date":"2013-01-30","proceeding":null,"authors":["Vasilica Lepar","Prakash P. Shenoy"],"abstract":"In the last decade, several architectures have been proposed for exact\ncomputation of marginals using local computation. In this paper, we compare\nthree architectures - Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer - from\nthe perspective of graphical structure for message propagation, message-passing\nscheme, computational efficiency, and storage efficiency.","url_abs":"http://arxiv.org/abs/1301.7394v1","url_pdf":"http://arxiv.org/pdf/1301.7394v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-comparison-of-lauritzen-spiegelhalter-hugin","repo_url":"https://github.com/eBay/bayesian-belief-networks","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"computational-efficiency","task_name":"Computational Efficiency"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}