{"id":"https://openalex.org/W1507114614","doi":"https://doi.org/10.1007/978-3-540-72523-7_41","title":"On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles","display_name":"On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles","publication_year":2007,"publication_date":"2007-06-21","ids":{"openalex":"https://openalex.org/W1507114614","doi":"https://doi.org/10.1007/978-3-540-72523-7_41","mag":"1507114614"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-72523-7_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-72523-7_41","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5088494690","display_name":"Yun\u2010Sheng Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yun-Sheng Chung","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300, ROC","Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300, ROC","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan#TAB#","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101962233","display_name":"D. Frank Hsu","orcid":"https://orcid.org/0000-0003-0468-0843"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Frank Hsu","raw_affiliation_strings":["Department of Computer and Information Sciences, Fordham University, LL813, 113 West 60th Street, New York, NY 10023, USA","Department of Computer and Information Sciences, Fordham University, New York, NY"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Fordham University, LL813, 113 West 60th Street, New York, NY 10023, USA","institution_ids":["https://openalex.org/I164389053"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Fordham University, New York, NY","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101474162","display_name":"Chuan Yi Tang","orcid":"https://orcid.org/0000-0003-0729-1624"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuan Yi Tang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300, ROC","Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300, ROC","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan#TAB#","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088494690"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.061,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.882794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"407","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9972000122070312,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9972000122070312,"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":0.9854999780654907,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6964913606643677},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.6152845025062561},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5710234045982361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5600390434265137},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5380963683128357},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5013301372528076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4649805724620819},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.45228052139282227},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.42435866594314575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42373281717300415},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.39916351437568665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38829565048217773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3712908923625946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33835506439208984}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6964913606643677},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.6152845025062561},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5710234045982361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5600390434265137},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5380963683128357},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5013301372528076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4649805724620819},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.45228052139282227},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.42435866594314575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42373281717300415},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.39916351437568665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38829565048217773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3712908923625946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33835506439208984},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-72523-7_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-72523-7_41","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W124367838","https://openalex.org/W600489529","https://openalex.org/W648027589","https://openalex.org/W1507763842","https://openalex.org/W1534477342","https://openalex.org/W1538954065","https://openalex.org/W1552050847","https://openalex.org/W1563454968","https://openalex.org/W1584161386","https://openalex.org/W1854064769","https://openalex.org/W1967646346","https://openalex.org/W1971238016","https://openalex.org/W1999589609","https://openalex.org/W2041689956","https://openalex.org/W2042024605","https://openalex.org/W2045157157","https://openalex.org/W2067885219","https://openalex.org/W2084597006","https://openalex.org/W2096112399","https://openalex.org/W2099111195","https://openalex.org/W2102734279","https://openalex.org/W2115629999","https://openalex.org/W2122558050","https://openalex.org/W2124868070","https://openalex.org/W2128073546","https://openalex.org/W2131750622","https://openalex.org/W2132971529","https://openalex.org/W2135293965","https://openalex.org/W2141434237","https://openalex.org/W2153256899","https://openalex.org/W2158275940","https://openalex.org/W2168847089","https://openalex.org/W2182044576","https://openalex.org/W2309693750","https://openalex.org/W2477850881","https://openalex.org/W2487087946","https://openalex.org/W2503474909","https://openalex.org/W2911964244","https://openalex.org/W3015962962","https://openalex.org/W4234892472","https://openalex.org/W4235255186","https://openalex.org/W4298233331","https://openalex.org/W4301891957","https://openalex.org/W6641999561"],"related_works":["https://openalex.org/W2046975922","https://openalex.org/W2057416691","https://openalex.org/W4256395896","https://openalex.org/W2743555903","https://openalex.org/W2968660735","https://openalex.org/W2083259201","https://openalex.org/W2137567908","https://openalex.org/W2245276335","https://openalex.org/W1940098242","https://openalex.org/W2905430408"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
