{"id":"https://openalex.org/W2145836532","doi":"https://doi.org/10.1142/s0218213013500255","title":"A NEW ENSEMBLE LEARNING ALGORITHM USING REGIONAL CLASSIFIERS","display_name":"A NEW ENSEMBLE LEARNING ALGORITHM USING REGIONAL CLASSIFIERS","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2145836532","doi":"https://doi.org/10.1142/s0218213013500255","mag":"2145836532"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213013500255","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213013500255","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/A5090281560","display_name":"Byungwoo Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"BYUNGWOO LEE","raw_affiliation_strings":["Samsung Electronics Co., Ltd., 416, Maetan 3-dong, Yeongtong-gu, Suwon-si, Gyeonggi-do, 443-803, Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics Co., Ltd., 416, Maetan 3-dong, Yeongtong-gu, Suwon-si, Gyeonggi-do, 443-803, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060613793","display_name":"Sungha Choi","orcid":"https://orcid.org/0000-0003-2313-9243"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SUNGHA CHOI","raw_affiliation_strings":["LG Electronics, Inc., 20, Youido-dong, Yongdungpo-gu, Seoul 150-721, Korea"],"affiliations":[{"raw_affiliation_string":"LG Electronics, Inc., 20, Youido-dong, Yongdungpo-gu, Seoul 150-721, Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023395739","display_name":"Byonghwa Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"BYONGHWA OH","raw_affiliation_strings":["Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea","Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea#TAB#","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046628656","display_name":"Jihoon Yang","orcid":"https://orcid.org/0000-0002-0300-7705"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JIHOON YANG","raw_affiliation_strings":["Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea","Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea#TAB#","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101413142","display_name":"Sungyong Park","orcid":"https://orcid.org/0000-0002-0309-1820"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SUNGYONG PARK","raw_affiliation_strings":["Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea","Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea#TAB#","institution_ids":["https://openalex.org/I148751991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090281560"],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72436519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":"04","first_page":"1350025","last_page":"1350025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.996399998664856,"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":0.9954000115394592,"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":0.8676393628120422},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.8562694787979126},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.744970440864563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6997116804122925},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.683678388595581},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5908750891685486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5644391775131226},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.5170541405677795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5066452622413635},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4385090470314026},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43761271238327026},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.429951012134552},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.42524275183677673},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.3328389823436737},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.20727863907814026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8676393628120422},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8562694787979126},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.744970440864563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6997116804122925},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.683678388595581},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5908750891685486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5644391775131226},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.5170541405677795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5066452622413635},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4385090470314026},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43761271238327026},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.429951012134552},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.42524275183677673},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.3328389823436737},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.20727863907814026},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213013500255","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213013500255","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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1489125359","https://openalex.org/W1512098439","https://openalex.org/W1570448133","https://openalex.org/W1599043334","https://openalex.org/W1605688901","https://openalex.org/W1966280301","https://openalex.org/W1988790447","https://openalex.org/W2012327117","https://openalex.org/W2024046085","https://openalex.org/W2100483895","https://openalex.org/W2100805904","https://openalex.org/W2112076978","https://openalex.org/W2115629999","https://openalex.org/W2122590344","https://openalex.org/W2125055259","https://openalex.org/W2131421516","https://openalex.org/W2135293965","https://openalex.org/W2140785063","https://openalex.org/W2149706766","https://openalex.org/W2152761983","https://openalex.org/W2156909104","https://openalex.org/W2799061466","https://openalex.org/W2912934387","https://openalex.org/W2966207845","https://openalex.org/W3120740533","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W1819627533","https://openalex.org/W2137567908","https://openalex.org/W2913388591","https://openalex.org/W2083259201","https://openalex.org/W2142995730","https://openalex.org/W2104246955","https://openalex.org/W88722211","https://openalex.org/W2989868186","https://openalex.org/W1971238016","https://openalex.org/W2557740646"],"abstract_inverted_index":{"We":[0,26,61],"present":[1],"a":[2,9,20,47,92],"new":[3,71],"ensemble":[4,72,83],"learning":[5],"method":[6,73,101,121],"that":[7,54,75,96,105],"employs":[8],"set":[10],"of":[11,15,22,69,76,99,106],"regional":[12],"classifiers,":[13],"each":[14],"which":[16],"learns":[17],"to":[18,65,104],"handle":[19],"subset":[21],"the":[23,28,38,52,56,67,97,111,117],"training":[24,29],"data.":[25],"split":[27],"data":[30],"and":[31,89,108],"generate":[32],"classifiers":[33,53,78],"for":[34],"different":[35],"regions":[36],"in":[37,58],"feature":[39],"space.":[40],"When":[41],"classifying":[42],"an":[43],"instance,":[44],"we":[45,94],"apply":[46],"weighted":[48],"voting":[49],"scheme":[50],"among":[51],"include":[55],"instance":[57],"their":[59],"region.":[60],"used":[62],"11":[63],"datasets":[64],"compare":[66],"performance":[68,98],"our":[70,100,120],"with":[74],"single":[77],"as":[79,81,86],"well":[80],"other":[82,123],"methods":[84],"such":[85],"RBE,":[87],"bagging":[88,109],"Adaboost.":[90],"As":[91],"result,":[93],"found":[95],"is":[102,114],"comparable":[103],"Adaboost":[107],"when":[110],"base":[112],"learner":[113],"C4.5.":[115],"In":[116],"remaining":[118],"cases,":[119],"outperformed":[122],"approaches.":[124]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}