{"id":"https://openalex.org/W2741692041","doi":"https://doi.org/10.24963/ijcai.2017/241","title":"Exclusivity Regularized Machine: A New Ensemble SVM Classifier","display_name":"Exclusivity Regularized Machine: A New Ensemble SVM Classifier","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741692041","doi":"https://doi.org/10.24963/ijcai.2017/241","mag":"2741692041"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/241","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/241","pdf_url":"https://www.ijcai.org/proceedings/2017/0241.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0241.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090356888","display_name":"Xiaojie Guo","orcid":"https://orcid.org/0000-0002-0326-8382"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Guo","raw_affiliation_strings":["State Key Laboratory of Information Security, IIE, Chinese Academy of Sciences","University of Chinese Academy of Sciences","State Key Laboratory of Information Security, IIE, Chinese Academy of Sciences; University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, IIE, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Information Security, IIE, Chinese Academy of Sciences; University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410391","display_name":"Xiaobo Wang","orcid":"https://orcid.org/0000-0002-6815-2751"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, IA, Chinese Academy of Sciences","University of Chinese Academy of Sciences","National Laboratory of Pattern Recognition, IA, Chinese Academy of Sciences; University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, IA, Chinese Academy of Sciences","institution_ids":[]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, IA, Chinese Academy of Sciences; University of Chinese Academy of Sciences","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061469520","display_name":"Haibin Ling","orcid":"https://orcid.org/0000-0003-4094-8413"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Ling","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7164,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83702687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1739","last_page":"1745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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":0.9979000091552734,"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/T12676","display_name":"Machine Learning and ELM","score":0.9975000023841858,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9966999888420105,"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":0.7482590675354004},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6917115449905396},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6288232803344727},{"id":"https://openalex.org/keywords/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.6138966083526611},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5998905897140503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5847464203834534},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5534411668777466},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5095034241676331},{"id":"https://openalex.org/keywords/multiplier","display_name":"Multiplier (economics)","score":0.41649532318115234},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3236883878707886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1756003201007843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7482590675354004},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6917115449905396},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6288232803344727},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.6138966083526611},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5998905897140503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5847464203834534},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5534411668777466},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5095034241676331},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.41649532318115234},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3236883878707886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1756003201007843},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/241","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/241","pdf_url":"https://www.ijcai.org/proceedings/2017/0241.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/241","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/241","pdf_url":"https://www.ijcai.org/proceedings/2017/0241.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1715314992","display_name":null,"funder_award_id":"61402467","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3160831190","display_name":null,"funder_award_id":"61528204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3403770495","display_name":"CAREER: High-order Tensor Analysis for Groupwise Correspondence: Theory, Algorithms, and Applications","funder_award_id":"1350521","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741692041.pdf","grobid_xml":"https://content.openalex.org/works/W2741692041.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W92621565","https://openalex.org/W605727707","https://openalex.org/W1594031697","https://openalex.org/W1934570606","https://openalex.org/W1988790447","https://openalex.org/W2001619934","https://openalex.org/W2035720976","https://openalex.org/W2054110507","https://openalex.org/W2058307353","https://openalex.org/W2106979123","https://openalex.org/W2107275319","https://openalex.org/W2113242816","https://openalex.org/W2115364117","https://openalex.org/W2125055259","https://openalex.org/W2125993116","https://openalex.org/W2128073546","https://openalex.org/W2144567071","https://openalex.org/W2150757437","https://openalex.org/W2156909104","https://openalex.org/W2158875652","https://openalex.org/W2165966284","https://openalex.org/W2183198701","https://openalex.org/W2200914098","https://openalex.org/W2281466631","https://openalex.org/W2335925837","https://openalex.org/W4238530616"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2074745806","https://openalex.org/W1600454385","https://openalex.org/W148178222","https://openalex.org/W1997033546","https://openalex.org/W2104657898","https://openalex.org/W3120556963","https://openalex.org/W1979241556","https://openalex.org/W1948992892","https://openalex.org/W1886884218"],"abstract_inverted_index":{"The":[0],"diversity":[1,51],"of":[2,6,19,46,71,82,96,107],"base":[3],"learners":[4],"is":[5,61],"utmost":[7],"importance":[8],"to":[9,40,63,92],"a":[10,16],"good":[11],"ensemble.":[12],"This":[13],"paper":[14],"defines":[15],"novel":[17],"measurement":[18],"diversity,":[20],"termed":[21],"as":[22,86,88],"exclusivity.":[23],"With":[24],"the":[25,43,50,68,83,94],"designed":[26],"exclusivity,":[27],"we":[28],"further":[29],"propose":[30],"an":[31,55],"ensemble":[32,47],"SVM":[33],"classifier,":[34],"namely":[35],"Exclusivity":[36],"Regularized":[37],"Machine":[38],"(ExRM),":[39],"jointly":[41],"suppress":[42],"training":[44],"error":[45],"and":[48,65,79,99,109],"enhance":[49],"between":[52],"bases.":[53],"Moreover,":[54],"Augmented":[56],"Lagrange":[57],"Multiplier":[58],"based":[59],"algorithm":[60],"customized":[62],"effectively":[64],"efficiently":[66],"seek":[67],"optimal":[69],"solution":[70],"ExRM.":[72],"Theoretical":[73],"analysis":[74],"on":[75],"convergence,":[76],"global":[77],"optimality":[78],"linear":[80],"complexity":[81],"proposed":[84],"algorithm,":[85],"well":[87],"experiments":[89],"are":[90],"provided":[91],"reveal":[93],"efficacy":[95],"our":[97],"method":[98],"show":[100],"its":[101],"superiority":[102],"over":[103],"state-of-the-arts":[104],"in":[105],"terms":[106],"accuracy":[108],"efficiency.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}