{"id":"https://openalex.org/W2155699737","doi":"https://doi.org/10.1145/1553374.1553436","title":"Orbit-product representation and correction of Gaussian belief propagation","display_name":"Orbit-product representation and correction of Gaussian belief propagation","publication_year":2009,"publication_date":"2009-06-14","ids":{"openalex":"https://openalex.org/W2155699737","doi":"https://doi.org/10.1145/1553374.1553436","mag":"2155699737"},"language":"en","primary_location":{"id":"doi:10.1145/1553374.1553436","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/956389","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024437306","display_name":"Jason K. Johnson","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jason K. Johnson","raw_affiliation_strings":["Center for Nonlinear Studies, LANL, Los Alamos, NM"],"affiliations":[{"raw_affiliation_string":"Center for Nonlinear Studies, LANL, Los Alamos, NM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009564648","display_name":"Vladimir Chernyak","orcid":"https://orcid.org/0000-0003-4389-4238"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Y. Chernyak","raw_affiliation_strings":["Wayne State University, Detroit, MI and Center for Nonlinear Studies, LANL, Los Alamos, NM"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Detroit, MI and Center for Nonlinear Studies, LANL, Los Alamos, NM","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068974029","display_name":"Michael Chertkov","orcid":"https://orcid.org/0000-0002-6758-515X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Chertkov","raw_affiliation_strings":["Center for Nonlinear Studies, LANL, Los Alamos, NM"],"affiliations":[{"raw_affiliation_string":"Center for Nonlinear Studies, LANL, Los Alamos, NM","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024437306"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8201,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87266225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"473","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9193999767303467,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.7263740301132202},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.6752179265022278},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.6296140551567078},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5526219606399536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49351775646209717},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47818663716316223},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4595900774002075},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4544258117675781},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34517598152160645},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.28861159086227417},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16053149104118347},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1374945342540741}],"concepts":[{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.7263740301132202},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.6752179265022278},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.6296140551567078},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5526219606399536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49351775646209717},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47818663716316223},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4595900774002075},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4544258117675781},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34517598152160645},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.28861159086227417},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16053149104118347},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1374945342540741},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1553374.1553436","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:956389","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/956389","pdf_url":"https://www.osti.gov/servlets/purl/956389","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:956389","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/956389","pdf_url":"https://www.osti.gov/servlets/purl/956389","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2155699737.pdf","grobid_xml":"https://content.openalex.org/works/W2155699737.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1872430906","https://openalex.org/W1970851820","https://openalex.org/W1995485090","https://openalex.org/W2049433041","https://openalex.org/W2057803073","https://openalex.org/W2100326972","https://openalex.org/W2111521164","https://openalex.org/W2124449647","https://openalex.org/W2158122241","https://openalex.org/W2159003862","https://openalex.org/W2169406849","https://openalex.org/W2169415915","https://openalex.org/W2295244470","https://openalex.org/W3105125909","https://openalex.org/W3106339509","https://openalex.org/W4213281018","https://openalex.org/W6683256935","https://openalex.org/W6948412721"],"related_works":["https://openalex.org/W3152713649","https://openalex.org/W3009052662","https://openalex.org/W26187695","https://openalex.org/W2122977448","https://openalex.org/W2124250880","https://openalex.org/W2114758843","https://openalex.org/W2150312244","https://openalex.org/W4301665663","https://openalex.org/W4213150077","https://openalex.org/W1981023414"],"abstract_inverted_index":{"We":[0,25,46],"present":[1],"a":[2,12,18,23,91,112,122],"new":[3],"view":[4],"of":[5,14,22,36,65,90,95],"Gaussian":[6],"belief":[7],"propagation":[8],"(GaBP)":[9],"based":[10,101],"on":[11,102],"representation":[13],"the":[15,28,37,49,63,73,88,96],"determinant":[16,30,89],"as":[17,87],"product":[19],"over":[20],"orbits":[21,35,51,61,119],"graph.":[24],"show":[26,47],"that":[27,48,79],"GaBP":[29,74],"estimate":[31],"captures":[32],"totally":[33],"backtracking":[34],"graph":[38,97],"and":[39,62],"consider":[40],"how":[41],"to":[42,59,110,121],"correct":[43],"this":[44,80],"estimate.":[45],"missing":[50],"may":[52],"be":[53,85],"grouped":[54],"into":[55],"equivalence":[56,67],"classes":[57],"corresponding":[58],"backtrackless":[60,92,118],"contribution":[64],"each":[66],"class":[68],"is":[69,108],"easily":[70],"determined":[71],"from":[72],"solution.":[75],"Furthermore,":[76],"we":[77],"demonstrate":[78],"multiplicative":[81],"correction":[82,114],"factor":[83,115],"can":[84],"interpreted":[86],"adjacency":[93],"matrix":[94],"with":[98],"edge":[99],"weights":[100],"GaBP.":[103],"Finally,":[104],"an":[105],"efficient":[106],"method":[107],"proposed":[109],"compute":[111],"truncated":[113],"including":[116],"all":[117],"up":[120],"specified":[123],"length.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}