{"id":"https://openalex.org/W4212968448","doi":"https://doi.org/10.1109/access.2022.3151240","title":"Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation","display_name":"Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4212968448","doi":"https://doi.org/10.1109/access.2022.3151240"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3151240","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3151240","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09717269.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09717269.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100781297","display_name":"Yongyan Hou","orcid":"https://orcid.org/0000-0001-8601-2229"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyan Hou","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi&#x2019;an, China","an, China"],"raw_orcid":"https://orcid.org/0000-0001-8601-2229","affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034757384","display_name":"Ao Yang","orcid":"https://orcid.org/0000-0001-8867-1375"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Yang","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi&#x2019;an, China","an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082735174","display_name":"Wenqiang Guo","orcid":"https://orcid.org/0000-0002-6283-791X"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Guo","raw_affiliation_strings":["School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi&#x2019;an, China","an, China"],"raw_orcid":"https://orcid.org/0000-0002-6283-791X","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055588366","display_name":"Zheng En-rang","orcid":"https://orcid.org/0000-0003-1510-952X"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enrang Zheng","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi&#x2019;an, China","an, China"],"raw_orcid":"https://orcid.org/0000-0003-1510-952X","affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699340","display_name":"Qinkun Xiao","orcid":"https://orcid.org/0000-0001-9368-4138"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinkun Xiao","raw_affiliation_strings":["College of Electronic Information Engineering, Xi&#x2019;an Technological University, Xi&#x2019;an, China","an Technological University, Xi&#x2019","an, China"],"raw_orcid":"https://orcid.org/0000-0001-9368-4138","affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Xi&#x2019;an Technological University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210110558"]},{"raw_affiliation_string":"an Technological University, Xi&#x2019","institution_ids":["https://openalex.org/I4210110558"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101477157","display_name":"Zhigao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhigao Guo","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4311-4887","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019098652","display_name":"Zixuan Huang","orcid":"https://orcid.org/0000-0003-3389-3688"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Huang","raw_affiliation_strings":["School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi&#x2019;an, China","an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2764,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.76749988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"35768","last_page":"35783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9855999946594238,"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":0.7389436364173889},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6161581873893738},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.49822354316711426},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.46733129024505615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45948585867881775},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45889875292778015},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4504656195640564},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.44853949546813965},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4466693699359894},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43019038438796997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39765968918800354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37257120013237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22638171911239624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07801118493080139}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389436364173889},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6161581873893738},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.49822354316711426},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.46733129024505615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45948585867881775},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45889875292778015},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4504656195640564},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.44853949546813965},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4466693699359894},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43019038438796997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39765968918800354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37257120013237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22638171911239624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07801118493080139},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3151240","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3151240","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09717269.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d1307744e24e4067b4c720f5782c1ab5","is_oa":true,"landing_page_url":"https://doaj.org/article/d1307744e24e4067b4c720f5782c1ab5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 35768-35783 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3151240","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3151240","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09717269.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G3607797389","display_name":null,"funder_award_id":"2020SF-286","funder_id":"https://openalex.org/F4320327913","funder_display_name":"ShanXi Science and Technology Department"},{"id":"https://openalex.org/G386972718","display_name":"\u57fa\u4e8eGPS\u4fe1\u53f7\u7684\u571f\u58e4\u6e7f\u5ea6\u53cd\u6f14\u7814\u7a76","funder_award_id":"61271363","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6871822482","display_name":null,"funder_award_id":"2019216514GXRC001CG002GXYD1.1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7879472498","display_name":null,"funder_award_id":"62071366","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325079","display_name":"Xi'an Municipal Bureau of Science and Technology","ror":"https://ror.org/02rn5dn49"},{"id":"https://openalex.org/F4320327913","display_name":"ShanXi Science and Technology Department","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4212968448.pdf","grobid_xml":"https://content.openalex.org/works/W4212968448.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W114565888","https://openalex.org/W1503398984","https://openalex.org/W1965555277","https://openalex.org/W2036550488","https://openalex.org/W2051361808","https://openalex.org/W2071218570","https://openalex.org/W2089831283","https://openalex.org/W2098333994","https://openalex.org/W2143891888","https://openalex.org/W2327889047","https://openalex.org/W2467156105","https://openalex.org/W2503787270","https://openalex.org/W2581879608","https://openalex.org/W2612554669","https://openalex.org/W2744790985","https://openalex.org/W2757330410","https://openalex.org/W2791694051","https://openalex.org/W2794149938","https://openalex.org/W2799800773","https://openalex.org/W2897895022","https://openalex.org/W2911574871","https://openalex.org/W2914562953","https://openalex.org/W2922146890","https://openalex.org/W2922497381","https://openalex.org/W2939978363","https://openalex.org/W2941964798","https://openalex.org/W2961287872","https://openalex.org/W2980897283","https://openalex.org/W2984201918","https://openalex.org/W2989878877","https://openalex.org/W2990226288","https://openalex.org/W2998535639","https://openalex.org/W3004738305","https://openalex.org/W3049632073"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W4282827391","https://openalex.org/W4405541655","https://openalex.org/W2972991241","https://openalex.org/W4386828785","https://openalex.org/W3165580226","https://openalex.org/W3135401135","https://openalex.org/W2381390841","https://openalex.org/W2886688859","https://openalex.org/W4404691825"],"abstract_inverted_index":{"Bearings":[0],"are":[1,143,183],"broadly":[2],"applied":[3],"in":[4,41,51,55,134],"various":[5],"types":[6],"of":[7,18,22,75,84,149,219,226,255,261,273],"industrial":[8,20],"systems.":[9,53],"Fault":[10],"diagnosis,":[11],"as":[12],"a":[13,96,171,202],"promising":[14],"way":[15],"for":[16,72],"reliability":[17],"modern":[19],"internet":[21],"thing":[23],"applications,":[24],"has":[25],"attracted":[26],"increasing":[27],"attention":[28],"from":[29,113,159,165,195],"both":[30,111,186],"academia":[31],"and":[32,38,58,106,117,151,191,209,270,301],"industry":[33],"fields.":[34],"Being":[35],"ideal":[36],"modeling":[37],"inference":[39],"tool":[40],"uncertainty":[42],"situations,":[43],"Bayesian":[44],"network":[45],"(BN)":[46],"is":[47,126,138,207,233,277],"becoming":[48],"increasingly":[49],"popular":[50],"many":[52],"However,":[54],"practical":[56],"uncertain":[57],"complicated":[59],"engineering":[60],"surroundings,":[61],"it&#x2019;s":[62],"difficult":[63],"or":[64,174,240,268],"expensive":[65],"to":[66,128,145,285,297],"collect":[67],"massive":[68],"labeled":[69],"fault":[70,76,204,288,303],"data":[71,90,222,257],"the":[73,82,114,118,131,135,147,166,180,187,192,196,217,220,253,265,271,274,282],"sake":[74],"diagnosis":[77,205,289,304],"model":[78],"learning.":[79],"To":[80],"address":[81],"issue":[83],"BN":[85],"parameter":[86,157,193,242],"learning":[87,132,224,249,259],"under":[88,216],"small":[89,221],"set":[91],"conditions,":[92],"this":[93],"paper":[94],"proposes":[95],"Varying":[97],"Coefficient":[98],"Transfer":[99],"Learning":[100],"(VCTL)":[101],"algorithm":[102,228,239,263,276],"based":[103],"on":[104,200],"aggregation":[105,232],"transfer":[107,243,248],"learning,":[108],"that":[109],"considers":[110],"knowledge":[112,194,300],"resource":[115,119,136,150,160,197,299],"domain":[116,137],"relevance":[120,148],"contributions.":[121],"The":[122,211],"balancing":[123],"weight":[124,141],"function":[125],"designed":[127],"determine":[129],"whether":[130],"task":[133],"activated.":[139],"Relevance":[140],"factors":[142],"proposed":[144,208,275],"measure":[146],"target":[152,167,181,188],"parameters":[153,182,190],"quantitatively,":[154],"by":[155],"combing":[156],"information":[158],"domains":[161],"with":[162,185,229,291],"those":[163],"obtained":[164],"domain,":[168],"using":[169],"maximum":[170,175],"posterior":[172],"(MAP)":[173],"likelihood":[176],"estimation":[177],"(MLE).":[178],"Finally,":[179],"aggregated":[184],"initial":[189],"domain.":[198],"Based":[199],"VCTL,":[201,292],"bearing":[203,287],"approach":[206],"verified.":[210,278],"experimental":[212],"results":[213],"show":[214],"that,":[215],"condition":[218,254],"set,":[223,258],"accuracy":[225,260],"VCTL":[227,262],"varying":[230],"coefficient":[231],"better":[234],"than":[235],"MLE":[236,267],"algorithm,":[237],"MAP":[238],"state-of-the-art":[241],"method,":[244],"local":[245],"linear":[246],"pooling":[247],"(LoLP)":[250],"algorithm.":[251],"Under":[252],"sufficient":[256],"approaches":[264],"classical":[266],"MAP,":[269],"correctness":[272],"Moreover,":[279],"we":[280,294],"illustrate":[281],"successful":[283],"application":[284],"real-world":[286],"case":[290],"where":[293],"had":[295],"access":[296],"expert-provided":[298],"real":[302],"data.":[305]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
