{"id":"https://openalex.org/W206729627","doi":"https://doi.org/10.1007/978-3-642-23963-2_20","title":"Patterns Discovery for Efficient Structured Probabilistic Inference","display_name":"Patterns Discovery for Efficient Structured Probabilistic Inference","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W206729627","doi":"https://doi.org/10.1007/978-3-642-23963-2_20","mag":"206729627"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-23963-2_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-23963-2_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00660477","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077987134","display_name":"Lionel Torti","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Lionel Torti","raw_affiliation_strings":["Universit\u00e9 Pierre et Marie Curie, Laboratoire d\u2019Informatique de Paris 6, 75252, Paris Cedex 05, France","Universit\u00e9 Pierre et Marie Curie, Laboratoire d'Informatique de Paris 6, 75252, Paris Cedex 05, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie, Laboratoire d\u2019Informatique de Paris 6, 75252, Paris Cedex 05, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie, Laboratoire d'Informatique de Paris 6, 75252, Paris Cedex 05, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035406841","display_name":"Christophe Gonzales","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Gonzales","raw_affiliation_strings":["Universit\u00e9 Pierre et Marie Curie, Laboratoire d\u2019Informatique de Paris 6, 75252, Paris Cedex 05, France","Universit\u00e9 Pierre et Marie Curie, Laboratoire d'Informatique de Paris 6, 75252, Paris Cedex 05, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie, Laboratoire d\u2019Informatique de Paris 6, 75252, Paris Cedex 05, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie, Laboratoire d'Informatique de Paris 6, 75252, Paris Cedex 05, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013543532","display_name":"Pierre-Henri Wuillemin","orcid":"https://orcid.org/0000-0003-3691-4886"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre-Henri Wuillemin","raw_affiliation_strings":["Universit\u00e9 Pierre et Marie Curie, Laboratoire d\u2019Informatique de Paris 6, 75252, Paris Cedex 05, France","Universit\u00e9 Pierre et Marie Curie, Laboratoire d'Informatique de Paris 6, 75252, Paris Cedex 05, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie, Laboratoire d\u2019Informatique de Paris 6, 75252, Paris Cedex 05, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie, Laboratoire d'Informatique de Paris 6, 75252, Paris Cedex 05, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077987134"],"corresponding_institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3729,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6277573,"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":"247","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7949717044830322},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7093983292579651},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6466419696807861},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6247660517692566},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6015599370002747},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5130264163017273},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.47592809796333313},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4641398787498474},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46286094188690186},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4102022051811218},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3411558270454407},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3378170132637024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32968270778656006},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.31088006496429443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2782636880874634},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07582935690879822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949717044830322},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7093983292579651},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6466419696807861},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6247660517692566},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6015599370002747},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5130264163017273},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.47592809796333313},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4641398787498474},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46286094188690186},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4102022051811218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3411558270454407},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3378170132637024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32968270778656006},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.31088006496429443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2782636880874634},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07582935690879822},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-23963-2_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-23963-2_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-00660477v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00660477","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SUM 2011 - 5th International Conference on Scalable Uncertainty Management, Oct 2011, Dayton, OH, United States. pp.247-260, &#x27E8;10.1007/978-3-642-23963-2_20&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00660477v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00660477","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SUM 2011 - 5th International Conference on Scalable Uncertainty Management, Oct 2011, Dayton, OH, United States. pp.247-260, &#x27E8;10.1007/978-3-642-23963-2_20&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W148995703","https://openalex.org/W189329303","https://openalex.org/W1483839075","https://openalex.org/W1492767570","https://openalex.org/W1505874246","https://openalex.org/W1520106371","https://openalex.org/W1542379632","https://openalex.org/W1581645897","https://openalex.org/W1585529040","https://openalex.org/W1607205948","https://openalex.org/W1711073729","https://openalex.org/W1723714545","https://openalex.org/W1822879401","https://openalex.org/W1839666256","https://openalex.org/W1982333717","https://openalex.org/W2011039300","https://openalex.org/W2017052164","https://openalex.org/W2037106315","https://openalex.org/W2078712199","https://openalex.org/W2086119402","https://openalex.org/W2126185296","https://openalex.org/W2136593687","https://openalex.org/W2154028116","https://openalex.org/W2159080219","https://openalex.org/W2170726034","https://openalex.org/W2471097799","https://openalex.org/W2727323272","https://openalex.org/W2895423403"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W3015855446","https://openalex.org/W4303857162","https://openalex.org/W2965643117","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W3049691116"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"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"}
