{"id":"https://openalex.org/W3139128274","doi":"https://doi.org/10.1007/s10994-022-06145-4","title":"Partitioned hybrid learning of Bayesian network structures","display_name":"Partitioned hybrid learning of Bayesian network structures","publication_year":2022,"publication_date":"2022-03-16","ids":{"openalex":"https://openalex.org/W3139128274","doi":"https://doi.org/10.1007/s10994-022-06145-4","mag":"3139128274"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-022-06145-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06145-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06145-4.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06145-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090033651","display_name":"Jireh Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jireh Huang","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004509724","display_name":"Qing Zhou","orcid":"https://orcid.org/0000-0002-2100-8840"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Zhou","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090033651"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.5908,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85180272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"111","issue":"5","first_page":"1695","last_page":"1738"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6118898391723633},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.563340425491333},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5320243239402771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5098909139633179},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4626536965370178},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46155428886413574},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.46146634221076965},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4538813531398773},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4485779404640198},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2116294503211975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6118898391723633},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.563340425491333},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5320243239402771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5098909139633179},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4626536965370178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46155428886413574},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.46146634221076965},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4538813531398773},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4485779404640198},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2116294503211975},{"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/s10994-022-06145-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06145-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06145-4.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-022-06145-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06145-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06145-4.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5718571992","display_name":null,"funder_award_id":"1952929","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"}],"funders":[{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3139128274.pdf","grobid_xml":"https://content.openalex.org/works/W3139128274.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W24143670","https://openalex.org/W58821489","https://openalex.org/W87366574","https://openalex.org/W1511986666","https://openalex.org/W1524326598","https://openalex.org/W1530398305","https://openalex.org/W1547246444","https://openalex.org/W1568555062","https://openalex.org/W1587150650","https://openalex.org/W1769824028","https://openalex.org/W1799396364","https://openalex.org/W1822300807","https://openalex.org/W1934306740","https://openalex.org/W1970687027","https://openalex.org/W1975062332","https://openalex.org/W2026126704","https://openalex.org/W2031779765","https://openalex.org/W2048675583","https://openalex.org/W2054658115","https://openalex.org/W2056336673","https://openalex.org/W2073307618","https://openalex.org/W2076753758","https://openalex.org/W2081225729","https://openalex.org/W2099900459","https://openalex.org/W2115984935","https://openalex.org/W2121146753","https://openalex.org/W2121273346","https://openalex.org/W2122410182","https://openalex.org/W2125043328","https://openalex.org/W2128088446","https://openalex.org/W2133091666","https://openalex.org/W2134240743","https://openalex.org/W2142635246","https://openalex.org/W2146521249","https://openalex.org/W2155573334","https://openalex.org/W2161205483","https://openalex.org/W2161642932","https://openalex.org/W2165190832","https://openalex.org/W2168175751","https://openalex.org/W2170112109","https://openalex.org/W2176442943","https://openalex.org/W2396961413","https://openalex.org/W2485657344","https://openalex.org/W2786464233","https://openalex.org/W2941343371","https://openalex.org/W2963174822","https://openalex.org/W2964239418","https://openalex.org/W2972244073","https://openalex.org/W2982875109","https://openalex.org/W3085991780","https://openalex.org/W3099913676","https://openalex.org/W3100028127","https://openalex.org/W3104592923","https://openalex.org/W4249446031","https://openalex.org/W4285719527","https://openalex.org/W4302423442","https://openalex.org/W6602436467","https://openalex.org/W6634071051"],"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/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2900798793"],"abstract_inverted_index":{"Abstract":[0],"We":[1,69],"develop":[2],"a":[3,33,46,60],"novel":[4],"hybrid":[5,14,50,130],"method":[6],"for":[7,66],"Bayesian":[8],"network":[9],"structure":[10,71,150],"learning":[11,31,72,151],"called":[12],"partitioned":[13],"greedy":[15,51,67],"search":[16],"(pHGS),":[17],"composed":[18],"of":[19,74,96,113,128,145],"three":[20],"distinct":[21],"yet":[22],"compatible":[23],"new":[24],"algorithms:":[25],"Partitioned":[26],"PC":[27,107],"(pPC)":[28],"accelerates":[29],"skeleton":[30],"via":[32],"divide-and-conquer":[34],"strategy,":[35],"p":[36],"-value":[37],"adjacency":[38],"thresholding":[39],"(PATH)":[40],"effectively":[41],"accomplishes":[42],"parameter":[43],"tuning":[44],"with":[45,132],"single":[47],"execution,":[48],"and":[49,62,81,87,98,116],"initialization":[52],"(HGI)":[53],"maximally":[54],"utilizes":[55],"constraint-based":[56],"information":[57],"to":[58,105],"obtain":[59],"high-scoring":[61],"well-performing":[63],"initial":[64],"graph":[65],"search.":[68],"establish":[70],"consistency":[73],"our":[75,84,117],"algorithms":[76,131],"in":[77],"the":[78,106,111,124,141],"large-sample":[79],"limit,":[80],"empirically":[82],"validate":[83],"methods":[85],"individually":[86],"collectively":[88],"through":[89],"extensive":[90],"numerical":[91],"comparisons.":[92],"The":[93],"combined":[94],"merits":[95],"pPC":[97],"PATH":[99],"achieve":[100],"significant":[101],"computational":[102,135],"reductions":[103],"compared":[104],"algorithm":[108],"without":[109],"sacrificing":[110],"accuracy":[112,127],"estimated":[114],"structures,":[115],"generally":[118],"applicable":[119],"HGI":[120],"strategy":[121],"reliably":[122],"improves":[123],"estimation":[125],"structural":[126],"popular":[129],"negligible":[133],"additional":[134],"expense.":[136],"Our":[137],"empirical":[138,143],"results":[139],"demonstrate":[140],"competitive":[142],"performance":[144],"pHGS":[146],"against":[147],"many":[148],"state-of-the-art":[149],"algorithms.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}