{"id":"https://openalex.org/W1964855255","doi":"https://doi.org/10.1142/s0218213008004308","title":"RECOVERING THE GLOBAL STRUCTURE FROM MULTIPLE LOCAL BAYESIAN NETWORKS","display_name":"RECOVERING THE GLOBAL STRUCTURE FROM MULTIPLE LOCAL BAYESIAN NETWORKS","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W1964855255","doi":"https://doi.org/10.1142/s0218213008004308","mag":"1964855255"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213008004308","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213008004308","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},"type":"article","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/A5100400672","display_name":"Weihua Li","orcid":"https://orcid.org/0000-0002-9060-382X"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"WEIHUA LI","raw_affiliation_strings":["Department of Computer Science and Engineering, Yunnan University, Kunming, 650091, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Yunnan University, Kunming, 650091, P. R. China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768142","display_name":"Weiyi Liu","orcid":"https://orcid.org/0000-0003-4180-4489"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"WEIYI LIU","raw_affiliation_strings":["Department of Computer Science and Engineering, Yunnan University, Kunming, 650091, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Yunnan University, Kunming, 650091, P. R. China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041269918","display_name":"Kun Yue","orcid":"https://orcid.org/0000-0003-3641-1461"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"KUN YUE","raw_affiliation_strings":["Department of Computer Science and Engineering, Yunnan University, Kunming, 650091, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Yunnan University, Kunming, 650091, P. R. China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100400672"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.572,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76680245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":"06","first_page":"1067","last_page":"1088"},"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":0.9794999957084656,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8491488099098206},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.8326188325881958},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6733989119529724},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6702042818069458},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6461700201034546},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5476237535476685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5050385594367981},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49229419231414795},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.49041152000427246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42313069105148315},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4127645492553711},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4121599495410919},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37353700399398804},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36821866035461426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0869489312171936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8491488099098206},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.8326188325881958},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6733989119529724},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6702042818069458},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6461700201034546},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5476237535476685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5050385594367981},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49229419231414795},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.49041152000427246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42313069105148315},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4127645492553711},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4121599495410919},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37353700399398804},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36821866035461426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0869489312171936},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213008004308","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213008004308","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1558863764","https://openalex.org/W1593793857","https://openalex.org/W1965315715","https://openalex.org/W1968137129","https://openalex.org/W1981918550","https://openalex.org/W1983690667","https://openalex.org/W1987205573","https://openalex.org/W1996573672","https://openalex.org/W2087204158","https://openalex.org/W2107151289","https://openalex.org/W2111061246","https://openalex.org/W2127426313","https://openalex.org/W2132198881","https://openalex.org/W2155490424","https://openalex.org/W2165190832","https://openalex.org/W2167769381","https://openalex.org/W2168935573","https://openalex.org/W2169152096","https://openalex.org/W4250143236","https://openalex.org/W4285719527","https://openalex.org/W4301208911","https://openalex.org/W4302423442"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2187019487","https://openalex.org/W2126934800","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W4200510307","https://openalex.org/W3125134981","https://openalex.org/W2484652232","https://openalex.org/W2188106786"],"abstract_inverted_index":{"Bayesian":[0,20,34,45],"networks":[1,21,35],"are":[2],"powerful":[3],"tools":[4],"for":[5],"common":[6],"knowledge":[7,56],"representation":[8],"and":[9,32,73,152,179],"reasoning":[10],"of":[11,29,53,66,145,149,154,161,181],"partial":[12],"beliefs":[13],"under":[14],"uncertainty.":[15],"In":[16],"the":[17,54,67,83,88,94,106,109,116,124,158,165,177,196],"last":[18],"decade,":[19],"have":[22,36,112],"been":[23,37,113],"successfully":[24],"applied":[25],"to":[26,61,81,86,93,104,133,175,194],"a":[27,50,71,143,185],"variety":[28],"problem":[30],"domains":[31],"many":[33,41],"established.":[38],"Confronted":[39],"with":[40],"real-world":[42],"applications,":[43],"each":[44],"network":[46],"established":[47],"may":[48,111,119],"be":[49,120,134],"local":[51,64,129,202],"model":[52,90,107,126,199],"whole":[55,68,117],"domain.":[57,97],"It":[58,77],"is":[59,78,101,131,188,212],"desirable":[60],"combine":[62],"all":[63],"models":[65,130],"domain":[69,84,118],"into":[70],"global":[72,89,125,162,182,197],"more":[74],"general":[75],"representation.":[76],"not":[79,102],"realistic":[80],"expect":[82],"experts":[85],"construct":[87],"manually":[91],"due":[92],"too":[95],"broad":[96],"As":[98],"well,":[99],"it":[100],"feasible":[103],"relearn":[105],"since":[108],"dataset":[110],"discarded":[114],"or":[115],"distributed.":[121],"Thus,":[122],"constructing":[123],"by":[127,156],"combining":[128],"doomed":[132],"an":[135],"alternative":[136],"solution.":[137],"This":[138],"paper":[139,169],"concentrates":[140],"on":[141],"finding":[142],"method":[144],"combination":[146],"without":[147],"loss":[148],"any":[150],"information":[151],"free":[153],"datasets":[155],"capturing":[157],"graphical":[159,166,173,192],"characterizations":[160,174,193],"models.":[163,183,203],"From":[164],"perspective,":[167],"this":[168],"first":[170],"captures":[171],"two":[172],"determine":[176],"skeleton":[178],"V-structure":[180],"Moreover,":[184],"simple":[186],"algorithm":[187,211],"elicited":[189],"from":[190,200],"these":[191],"recover":[195],"underlying":[198],"multiple":[201],"A":[204],"preliminary":[205],"experiment":[206],"demonstrates":[207],"empirically":[208],"that":[209],"our":[210],"feasible.":[213]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}