{"id":"https://openalex.org/W2406943135","doi":"https://doi.org/10.1007/978-3-319-28379-1_2","title":"Constraint-Based Learning Bayesian Networks Using Bayes Factor","display_name":"Constraint-Based Learning Bayesian Networks Using Bayes Factor","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2406943135","doi":"https://doi.org/10.1007/978-3-319-28379-1_2","mag":"2406943135"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-28379-1_2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-28379-1_2","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","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":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-28379-1_2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074555751","display_name":"Kazuki Natori","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuki Natori","raw_affiliation_strings":["Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060310626","display_name":"Masaki Uto","orcid":"https://orcid.org/0000-0002-9330-5158"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Uto","raw_affiliation_strings":["Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018105017","display_name":"Yu Nishiyama","orcid":"https://orcid.org/0000-0001-9158-7131"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Nishiyama","raw_affiliation_strings":["Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025934775","display_name":"Shuichi Kawano","orcid":"https://orcid.org/0000-0002-0804-0141"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuichi Kawano","raw_affiliation_strings":["Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002549511","display_name":"Maomi Ueno","orcid":"https://orcid.org/0000-0003-3598-8867"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Maomi Ueno","raw_affiliation_strings":["Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan","The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074555751"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.3414,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.62223057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"31"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9843000173568726,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/bayesian-network","display_name":"Bayesian network","score":0.7625137567520142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6880231499671936},{"id":"https://openalex.org/keywords/bayesian-programming","display_name":"Bayesian programming","score":0.6414804458618164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6362332701683044},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6243852376937866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6240883469581604},{"id":"https://openalex.org/keywords/bayes-factor","display_name":"Bayes factor","score":0.6203819513320923},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5820004343986511},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5604878067970276},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5268430113792419},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.4899381995201111},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.437500536441803},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.37893882393836975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18159162998199463}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7625137567520142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880231499671936},{"id":"https://openalex.org/C127043819","wikidata":"https://www.wikidata.org/wiki/Q16243608","display_name":"Bayesian programming","level":5,"score":0.6414804458618164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6362332701683044},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6243852376937866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6240883469581604},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.6203819513320923},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5820004343986511},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5604878067970276},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5268430113792419},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.4899381995201111},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.437500536441803},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.37893882393836975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18159162998199463},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-28379-1_2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-28379-1_2","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-28379-1_2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-28379-1_2","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W97652101","https://openalex.org/W1517993545","https://openalex.org/W1529665736","https://openalex.org/W1530964327","https://openalex.org/W1547246444","https://openalex.org/W1594839797","https://openalex.org/W1615454278","https://openalex.org/W1789238264","https://openalex.org/W1849652212","https://openalex.org/W1896384678","https://openalex.org/W1983690667","https://openalex.org/W1995504647","https://openalex.org/W2008906462","https://openalex.org/W2057393527","https://openalex.org/W2073891059","https://openalex.org/W2076983043","https://openalex.org/W2103547885","https://openalex.org/W2126832325","https://openalex.org/W2128088446","https://openalex.org/W2133091666","https://openalex.org/W2142390772","https://openalex.org/W2151387592","https://openalex.org/W2159080219","https://openalex.org/W2165190832","https://openalex.org/W2169152096","https://openalex.org/W2170112109","https://openalex.org/W2181416158","https://openalex.org/W2403155714","https://openalex.org/W2568887718","https://openalex.org/W2963073192","https://openalex.org/W2963331194","https://openalex.org/W2964047220","https://openalex.org/W3133236490","https://openalex.org/W4211177544","https://openalex.org/W4236354166","https://openalex.org/W4285719527","https://openalex.org/W4299515571","https://openalex.org/W4302423442"],"related_works":["https://openalex.org/W4309448762","https://openalex.org/W4211221765","https://openalex.org/W1700460858","https://openalex.org/W2188650561","https://openalex.org/W4237728685","https://openalex.org/W643788828","https://openalex.org/W2089519699","https://openalex.org/W2383034311","https://openalex.org/W2120658990","https://openalex.org/W2364194352"],"abstract_inverted_index":{"A":[0,33],"score-based":[1,50],"learning":[2,30,45,75,81],"Bayesian":[3,76,83,93],"networks,":[4],"which":[5],"seeks":[6],"the":[7,28,37,70,86],"best":[8,119],"structure":[9],"with":[10,56,101,112],"a":[11,19,49,98],"score":[12,87],"function,":[13],"incurs":[14],"heavy":[15],"computational":[16],"costs.":[17],"However,":[18],"constraint-based":[20],"(CB)":[21],"approach":[22,39,89],"relaxes":[23],"this":[24,65,95],"problem":[25,35],"and":[26,117],"extends":[27],"available":[29],"network":[31],"size.":[32],"severe":[34],"of":[36,44,48,64],"CB":[38,74],"is":[40,67],"its":[41],"lower":[42],"accuracy":[43],"than":[46,85],"that":[47,109],"approach.":[51],"Recently,":[52],"several":[53],"CI":[54,71,99],"tests":[55,72],"consistency":[57,102],"have":[58],"been":[59],"proposed.":[60],"The":[61,106],"main":[62],"proposal":[63],"study":[66],"to":[68,73],"apply":[69],"networks.":[77],"This":[78],"method":[79],"allows":[80],"larger":[82],"networks":[84],"based":[88],"does.":[90],"Based":[91],"on":[92],"theory,":[94],"paper":[96],"addresses":[97],"test":[100],"using":[103],"Bayes":[104,110],"factor.":[105],"result":[107],"shows":[108],"factor":[111],"Jeffreys\u2019":[113],"prior":[114],"provides":[115],"theoretically":[116],"empirically":[118],"performance.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
