{"id":"https://openalex.org/W1580965946","doi":"https://doi.org/10.1007/978-3-642-22152-1_20","title":"Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space","display_name":"Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1580965946","doi":"https://doi.org/10.1007/978-3-642-22152-1_20","mag":"1580965946"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-22152-1_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-22152-1_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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068750505","display_name":"Sourour Ammar","orcid":"https://orcid.org/0000-0002-5851-9206"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165258","display_name":"Laboratoire d'informatique de Nantes Atlantique","ror":"https://ror.org/05487pd16","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I4210165258","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sourour Ammar","raw_affiliation_strings":["Knowledge and Decision Team Laboratoire d\u2019Informatique de Nantes Atlantique (LINA) UMR 6241, Ecole Polytechnique de l\u2019Universit\u00e9 de Nantes, France","Knowledge and Decision Team Laboratoire d'Informatique de Nantes Atlantique (LINA) UMR 6241, Ecole Polytechnique de l'Universit\u00e9 de Nantes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knowledge and Decision Team Laboratoire d\u2019Informatique de Nantes Atlantique (LINA) UMR 6241, Ecole Polytechnique de l\u2019Universit\u00e9 de Nantes, France","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I4210165258","https://openalex.org/I97188460"]},{"raw_affiliation_string":"Knowledge and Decision Team Laboratoire d'Informatique de Nantes Atlantique (LINA) UMR 6241, Ecole Polytechnique de l'Universit\u00e9 de Nantes, France","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I4210165258","https://openalex.org/I97188460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090160531","display_name":"Philippe Leray","orcid":"https://orcid.org/0000-0002-0207-9280"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165258","display_name":"Laboratoire d'informatique de Nantes Atlantique","ror":"https://ror.org/05487pd16","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I4210165258","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Leray","raw_affiliation_strings":["Knowledge and Decision Team Laboratoire d\u2019Informatique de Nantes Atlantique (LINA) UMR 6241, Ecole Polytechnique de l\u2019Universit\u00e9 de Nantes, France","Knowledge and Decision Team Laboratoire d'Informatique de Nantes Atlantique (LINA) UMR 6241, Ecole Polytechnique de l'Universit\u00e9 de Nantes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knowledge and Decision Team Laboratoire d\u2019Informatique de Nantes Atlantique (LINA) UMR 6241, Ecole Polytechnique de l\u2019Universit\u00e9 de Nantes, France","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I4210165258","https://openalex.org/I97188460"]},{"raw_affiliation_string":"Knowledge and Decision Team Laboratoire d'Informatique de Nantes Atlantique (LINA) UMR 6241, Ecole Polytechnique de l'Universit\u00e9 de Nantes, France","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I4210165258","https://openalex.org/I97188460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05969009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"238"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9825000166893005,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9308000206947327,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hill-climbing","display_name":"Hill climbing","score":0.6253335475921631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5585544109344482},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5286785960197449},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5153695940971375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.490488737821579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.487490177154541},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46370798349380493},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.45937100052833557},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44057032465934753},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.42134323716163635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4118267893791199},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4105280339717865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33312347531318665}],"concepts":[{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.6253335475921631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5585544109344482},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5286785960197449},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5153695940971375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.490488737821579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.487490177154541},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46370798349380493},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45937100052833557},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44057032465934753},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.42134323716163635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4118267893791199},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4105280339717865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33312347531318665},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-22152-1_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-22152-1_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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W19668822","https://openalex.org/W23724364","https://openalex.org/W127549163","https://openalex.org/W144112396","https://openalex.org/W189329303","https://openalex.org/W1519713803","https://openalex.org/W1524326598","https://openalex.org/W1577291599","https://openalex.org/W1584379801","https://openalex.org/W1699048287","https://openalex.org/W1769824028","https://openalex.org/W1854866626","https://openalex.org/W1982254517","https://openalex.org/W2008906462","https://openalex.org/W2031779765","https://openalex.org/W2143075689","https://openalex.org/W2161642932","https://openalex.org/W2163166770","https://openalex.org/W2165190832","https://openalex.org/W2170112109","https://openalex.org/W2497844755","https://openalex.org/W2591957553","https://openalex.org/W2974701791","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2186944257","https://openalex.org/W2807265648"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
