{"id":321563,"date":"2016-11-14T17:26:50","date_gmt":"2016-11-15T01:26:50","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=321563"},"modified":"2018-10-16T19:56:15","modified_gmt":"2018-10-17T02:56:15","slug":"combination-cutset-conditioning-clique-tree-propagation-pathfinder-system","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/combination-cutset-conditioning-clique-tree-propagation-pathfinder-system\/","title":{"rendered":"A Combination of Cutset Conditioning with Clique-tree Propagation in the Pathfinder System"},"content":{"rendered":"<p>Cutset conditioning and clique-tree propagation are two popular methods for performing exact probabilistic inference in Bayesian belief networks. Cutset conditioning is based on decomposition of a subset of network nodes, whereas clique-tree propagation depends on aggregation of nodes. We describe a means to combine cutset conditioning and clique- tree propagation in an approach called aggregation after decomposition (AD). We discuss the application of the AD method in the Pathfinder system, a medical expert system that offers assistance with diagnosis in hematopathology.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cutset conditioning and clique-tree propagation are two popular methods for performing exact probabilistic inference in Bayesian belief networks. Cutset conditioning is based on decomposition of a subset of network nodes, whereas clique-tree propagation depends on aggregation of nodes. We describe a means to combine cutset conditioning and clique- tree propagation in an approach called aggregation [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence, Boston, MA","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"UAI-P-1990-PG-273-280","msr_organization":"","msr_pages_string":"273-279","msr_page_range_start":"273","msr_page_range_end":"279","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"1990-08-01","msr_highlight_text":"","msr_notes":"SRI International","msr_longbiography":"","msr_publicationurl":"https:\/\/arxiv.org\/abs\/1304.1114","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13556],"msr-publication-type":[193718],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-321563","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_publishername":"","msr_edition":"Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence, Boston, MA","msr_affiliation":"","msr_published_date":"1990-08-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"273-279","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"UAI-P-1990-PG-273-280","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"SRI International","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"459738","msr_publicationurl":"https:\/\/arxiv.org\/abs\/1304.1114","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"a-combination-of-cutset-conditioning-with-clique-tree-propagation-in-the-pathfinder-system","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/A-Combination-of-Cutset-Conditioning-with-Clique-tree-Propagation-in-the-Pathfinder-System.pdf","id":459738,"label_id":0},{"type":"url","title":"https:\/\/arxiv.org\/abs\/1304.1114","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[{"id":0,"url":"https:\/\/arxiv.org\/abs\/1304.1114"}],"msr-author-ordering":[{"type":"text","value":"Jaap Suermondt","user_id":0,"rest_url":false},{"type":"text","value":"Gregory F. 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