{"id":"https://openalex.org/W4214677562","doi":"https://doi.org/10.1109/access.2022.3155231","title":"Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers","display_name":"Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4214677562","doi":"https://doi.org/10.1109/access.2022.3155231"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3155231","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3155231","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09722892.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/ielx7/6287639/9668973/09722892.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063488508","display_name":"Taeheung Kim","orcid":"https://orcid.org/0000-0003-1444-1459"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Taeheung Kim","raw_affiliation_strings":["Department of Industrial Engineering, Sungkyunkwan University, Suwon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sungkyunkwan University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668161","display_name":"Jong\u2010Seok Lee","orcid":"https://orcid.org/0000-0001-5255-4425"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Seok Lee","raw_affiliation_strings":["Department of Industrial Engineering, Sungkyunkwan University, Suwon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sungkyunkwan University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063488508"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.4131,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.96153699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"22724","last_page":"22736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9977999925613403,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7648376226425171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.695689857006073},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6760039925575256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6352741718292236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135450005531311},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5485743284225464},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45979544520378113},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4465668499469757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4222833514213562},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4137313663959503},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32852232456207275},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.29321610927581787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2695271968841553}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7648376226425171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.695689857006073},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6760039925575256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6352741718292236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135450005531311},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5485743284225464},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45979544520378113},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4465668499469757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4222833514213562},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4137313663959503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32852232456207275},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29321610927581787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2695271968841553},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3155231","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3155231","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09722892.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:161a663321b347f4be3cf1853b66b6bb","is_oa":true,"landing_page_url":"https://doaj.org/article/161a663321b347f4be3cf1853b66b6bb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 22724-22736 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3155231","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3155231","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09722892.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":[],"awards":[{"id":"https://openalex.org/G2612598343","display_name":null,"funder_award_id":"2020R1A5A1019649","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G342704958","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5181230667","display_name":null,"funder_award_id":"2021000292","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6072120315","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6557190913","display_name":null,"funder_award_id":"2019R1A4A1024732","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6708456931","display_name":null,"funder_award_id":"2020R1A5A1019649","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7509581045","display_name":null,"funder_award_id":"20210002920012002","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7685055460","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G8074066228","display_name":null,"funder_award_id":"2021000292","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214677562.pdf","grobid_xml":"https://content.openalex.org/works/W4214677562.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1504694836","https://openalex.org/W1556327336","https://openalex.org/W1565746575","https://openalex.org/W1906182963","https://openalex.org/W1975299065","https://openalex.org/W2005126631","https://openalex.org/W2014610539","https://openalex.org/W2071512114","https://openalex.org/W2082610780","https://openalex.org/W2128569883","https://openalex.org/W2142827986","https://openalex.org/W2152885278","https://openalex.org/W2158698691","https://openalex.org/W2282289695","https://openalex.org/W2301834531","https://openalex.org/W2482589566","https://openalex.org/W2803413127","https://openalex.org/W2808112299","https://openalex.org/W2902087014","https://openalex.org/W2970199969","https://openalex.org/W2996283780","https://openalex.org/W2998216295","https://openalex.org/W3006129156","https://openalex.org/W3013764451","https://openalex.org/W3120740533","https://openalex.org/W4293775970","https://openalex.org/W4297957988","https://openalex.org/W4312326823","https://openalex.org/W6633497745","https://openalex.org/W6633774736","https://openalex.org/W6676351932","https://openalex.org/W6677773337","https://openalex.org/W6678948659","https://openalex.org/W6707641287","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W2417174640"],"abstract_inverted_index":{"The":[0,72],"naive":[1,49,112,142],"Bayesian":[2],"classification":[3,178],"method":[4,16],"has":[5,17],"received":[6],"significant":[7],"attention":[8],"in":[9,21],"the":[10,35,45,48,85,96,102,106,111,159,167,177],"field":[11],"of":[12,34,47,80,95,105,137],"supervised":[13],"learning.":[14],"This":[15,52,120],"an":[18],"unrealistic":[19],"assumption":[20,41],"that":[22,83,110,166],"it":[23],"views":[24],"all":[25],"attributes":[26],"as":[27],"equally":[28],"important.":[29],"Attribute":[30],"weighting":[31,64],"is":[32,129],"one":[33],"methods":[36,65],"used":[37],"to":[38,77,90,117,131,140,147],"alleviate":[39],"this":[40],"and":[42,99,133,175],"consequently":[43],"improve":[44],"performance":[46],"Bayes":[50,113,143],"classification.":[51],"study,":[53],"with":[54,123],"a":[55,78,124,135],"focus":[56],"on":[57,151],"nonlinear":[58],"optimization":[59,86],"problems,":[60],"proposes":[61],"four":[62,68],"attribute":[63,173],"by":[66],"minimizing":[67],"different":[69],"loss":[70,74,107,127],"functions.":[71],"proposed":[73,168],"functions":[75,82],"belong":[76],"family":[79],"exponential":[81,126],"makes":[84],"problems":[87],"more":[88,145],"straightforward":[89],"solve,":[91],"provides":[92,134],"analytical":[93],"properties":[94],"trained":[97],"classifier,":[98],"allows":[100],"for":[101],"simple":[103],"modification":[104],"function":[108],"such":[109],"classifier":[114],"becomes":[115],"robust":[116,146],"noisy":[118,148],"instances.":[119,149],"research":[121],"begins":[122],"typical":[125],"which":[128],"sensitive":[130],"noise":[132],"series":[136],"its":[138],"modifications":[139],"make":[141],"classifiers":[144],"Based":[150],"numerical":[152],"experiments":[153],"conducted":[154],"using":[155],"28":[156],"datasets":[157],"from":[158],"UCI":[160],"machine":[161],"learning":[162],"repository,":[163],"we":[164],"confirmed":[165],"scheme":[169],"successfully":[170],"determines":[171],"optimal":[172],"weights":[174],"improves":[176],"performance.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
