{"id":"https://openalex.org/W2052729327","doi":"https://doi.org/10.1057/palgrave.jors.2601262","title":"A Bayesian framework for the combination of classifier outputs","display_name":"A Bayesian framework for the combination of classifier outputs","publication_year":2002,"publication_date":"2002-07-01","ids":{"openalex":"https://openalex.org/W2052729327","doi":"https://doi.org/10.1057/palgrave.jors.2601262","mag":"2052729327"},"language":"en","primary_location":{"id":"doi:10.1057/palgrave.jors.2601262","is_oa":false,"landing_page_url":"https://doi.org/10.1057/palgrave.jors.2601262","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5020477193","display_name":"Haibin Zhu","orcid":"https://orcid.org/0000-0003-1922-1631"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H Zhu","raw_affiliation_strings":["Fair, Issac and Company San Rafael CA USA"],"affiliations":[{"raw_affiliation_string":"Fair, Issac and Company San Rafael CA USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056670558","display_name":"Peter A. Beling","orcid":"https://orcid.org/0000-0003-2196-6982"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"P A Beling","raw_affiliation_strings":["University of Virginia Charlottesville VA USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia Charlottesville VA USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058473381","display_name":"George A. Overstreet","orcid":"https://orcid.org/0000-0002-5552-2653"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G A Overstreet","raw_affiliation_strings":["University of Virginia Charlottesville VA USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia Charlottesville VA USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056670558"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":1.2506,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.81968028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"53","issue":"7","first_page":"719","last_page":"727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9926000237464905,"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":0.9926000237464905,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9914000034332275,"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":0.9682000279426575,"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/computer-science","display_name":"Computer science","score":0.699248194694519},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.6392039656639099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6320934295654297},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6294941902160645},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.583419144153595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.565800666809082},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5561408996582031},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5361974239349365},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5027430057525635},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.46310633420944214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3815631568431854},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34716546535491943},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15844398736953735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699248194694519},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.6392039656639099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6320934295654297},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6294941902160645},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.583419144153595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.565800666809082},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5561408996582031},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5361974239349365},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5027430057525635},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.46310633420944214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3815631568431854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34716546535491943},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15844398736953735}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1057/palgrave.jors.2601262","is_oa":false,"landing_page_url":"https://doi.org/10.1057/palgrave.jors.2601262","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:pal:jorsoc:v:53:y:2002:i:7:d:10.1057_palgrave.jors.2601262","is_oa":false,"landing_page_url":"http://link.springer.com/10.1057/palgrave.jors.2601262","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1964647586","https://openalex.org/W1975997662","https://openalex.org/W1980238813","https://openalex.org/W1984567898","https://openalex.org/W2004987553","https://openalex.org/W2024046085","https://openalex.org/W2029896651","https://openalex.org/W2038160815","https://openalex.org/W2050495532","https://openalex.org/W2102734279","https://openalex.org/W2112076978","https://openalex.org/W2164568552","https://openalex.org/W2797114046","https://openalex.org/W2912934387","https://openalex.org/W3112020351"],"related_works":["https://openalex.org/W1972450020","https://openalex.org/W2996897273","https://openalex.org/W1607432302","https://openalex.org/W83434975","https://openalex.org/W2537862391","https://openalex.org/W145653800","https://openalex.org/W2342969114","https://openalex.org/W2122175496","https://openalex.org/W2393473353","https://openalex.org/W2217683450"],"abstract_inverted_index":{"We":[0,19],"explore":[1],"a":[2,12,21,33,77],"Bayesian":[3,23],"framework":[4,24],"for":[5],"constructing":[6],"combinations":[7],"of":[8,30,52,70,91,113],"classifier":[9,53,79],"outputs,":[10,54],"as":[11],"means":[13],"to":[14,25,57],"improving":[15],"overall":[16],"classification":[17],"results.":[18],"propose":[20],"sequential":[22],"estimate":[26],"the":[27,50,62,82,104,111],"posterior":[28],"probability":[29],"being":[31],"in":[32,89],"certain":[34],"class":[35],"given":[36],"multiple":[37],"classifiers.":[38],"This":[39],"framework,":[40],"which":[41,85],"employs":[42],"meta-Gaussian":[43],"modelling":[44],"but":[45],"makes":[46],"no":[47],"assumptions":[48],"about":[49],"distribution":[51],"allows":[55],"us":[56],"capture":[58],"nonlinear":[59],"dependencies":[60],"between":[61],"combined":[63,78],"classifiers":[64],"and":[65,96],"individuals.":[66],"An":[67],"important":[68],"property":[69],"our":[71],"method":[72],"is":[73,87],"that":[74,80],"it":[75,86],"produces":[76],"dominates":[81],"individuals":[83],"upon":[84],"based":[88],"terms":[90],"Bayes":[92],"risk,":[93],"error":[94],"rate,":[95],"receiver":[97],"operating":[98],"characteristic":[99],"(ROC)":[100],"curve.":[101],"To":[102],"illustrate":[103],"method,":[105],"we":[106],"show":[107],"empirical":[108],"results":[109],"from":[110,117],"combination":[112],"credit":[114],"scores":[115],"generated":[116],"four":[118],"different":[119],"scoring":[120],"models.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
