{"id":"https://openalex.org/W2939607486","doi":"https://doi.org/10.3233/ida-183934","title":"Diversity, accuracy and efficiency in ensemble learning: An unexpected result","display_name":"Diversity, accuracy and efficiency in ensemble learning: An unexpected result","publication_year":2019,"publication_date":"2019-04-04","ids":{"openalex":"https://openalex.org/W2939607486","doi":"https://doi.org/10.3233/ida-183934","mag":"2939607486"},"language":"en","primary_location":{"id":"doi:10.3233/ida-183934","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-183934","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5071137321","display_name":"Joseph Johnson","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joseph Johnson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001363421","display_name":"Christophe Giraud-Carrier","orcid":"https://orcid.org/0000-0002-4129-3239"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christophe Giraud-Carrier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5071137321"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4236,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.69874484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"23","issue":"2","first_page":"297","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9976999759674072,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9976999759674072,"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":0.9973000288009644,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8540048003196716},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.8243752717971802},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.572710394859314},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5139569640159607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5108732581138611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5076059103012085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4901362359523773},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4520225524902344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3320055603981018},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.0917394757270813}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8540048003196716},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.8243752717971802},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.572710394859314},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5139569640159607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5108732581138611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5076059103012085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4901362359523773},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4520225524902344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3320055603981018},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0917394757270813},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-183934","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-183934","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W151573042","https://openalex.org/W1534477342","https://openalex.org/W2023420570","https://openalex.org/W2058307353","https://openalex.org/W2081364686","https://openalex.org/W2115629999","https://openalex.org/W2122892819","https://openalex.org/W2123528125","https://openalex.org/W2911964244","https://openalex.org/W2990062256"],"related_works":["https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3092276832","https://openalex.org/W3111529524","https://openalex.org/W4375951447"],"abstract_inverted_index":{"Empirical":[0],"evidence":[1],"suggests":[2],"that":[3,44],"ensembles":[4,62,81],"with":[5,66,83],"adequate":[6],"levels":[7],"of":[8,14,22,53,69,86,106,109],"pairwise":[9,51],"diversity":[10,30,52,87,110],"among":[11],"a":[12,27],"set":[13],"accurate":[15],"member":[16],"algorithms":[17],"can":[18,63,88],"significantly":[19,96],"outperform":[20],"any":[21],"the":[23,50,78,107],"individual":[24,58],"algorithms.":[25],"As":[26],"result,":[28],"several":[29],"measures":[31],"have":[32],"been":[33],"developed":[34],"for":[35],"use":[36],"in":[37,74,104],"optimizing":[38],"ensembles.":[39],"We":[40,100],"show,":[41],"howeve":[42],"r,":[43],"there":[45],"is":[46],"natural":[47],"tension":[48],"between":[49],"ensemble":[54],"members":[55],"and":[56],"their":[57],"accuracy.":[59,76],"While":[60],"efficient":[61],"be":[64,89,95],"built":[65,82],"stronger":[67],"forms":[68,85],"diversity,":[70],"they":[71],"also":[72],"suffer":[73],"overall":[75],"On":[77],"other":[79],"hand,":[80],"weaker":[84],"very":[90],"accurate,":[91],"but":[92],"tend":[93],"to":[94],"more":[97],"computationally":[98],"expensive.":[99],"discuss":[101],"these":[102],"findings":[103],"light":[105],"notion":[108],"space.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2025-10-10T00:00:00"}