{"id":"https://openalex.org/W2143343916","doi":"https://doi.org/10.1109/ijcnn.2010.5596377","title":"Pruning population size in XCS for complex problems","display_name":"Pruning population size in XCS for complex problems","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2143343916","doi":"https://doi.org/10.1109/ijcnn.2010.5596377","mag":"2143343916"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5036827432","display_name":"Barbara Rakitsch","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Barbara Rakitsch","raw_affiliation_strings":["Department of Computer Engineering, University of T\u00fcbingen, Tubingen, Germany","Department of Computer Engineering, University of T\u00fcbingen, Sand 13, 72076, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of T\u00fcbingen, Tubingen, Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"Department of Computer Engineering, University of T\u00fcbingen, Sand 13, 72076, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063548845","display_name":"Andreas Bernauer","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Bernauer","raw_affiliation_strings":["Department of Computer Engineering, University of T\u00fcbingen, Tubingen, Germany","Department of Computer Engineering, University of T\u00fcbingen, Sand 13, 72076, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of T\u00fcbingen, Tubingen, Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"Department of Computer Engineering, University of T\u00fcbingen, Sand 13, 72076, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074802358","display_name":"Oliver Bringmann","orcid":"https://orcid.org/0000-0002-1615-507X"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Bringmann","raw_affiliation_strings":["Department of Computer Engineering, University of T\u00fcbingen, Tubingen, Germany","Department of Computer Engineering, University of T\u00fcbingen, Sand 13, 72076, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of T\u00fcbingen, Tubingen, Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"Department of Computer Engineering, University of T\u00fcbingen, Sand 13, 72076, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087076980","display_name":"Wolfgang Rosenstiel","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Rosenstiel","raw_affiliation_strings":["Department of Computer Engineering, University of T\u00fcbingen, Tubingen, Germany","Department of Computer Engineering, University of T\u00fcbingen, Sand 13, 72076, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of T\u00fcbingen, Tubingen, Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"Department of Computer Engineering, University of T\u00fcbingen, Sand 13, 72076, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036827432"],"corresponding_institution_ids":["https://openalex.org/I8087733"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14442459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5060","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9739999771118164,"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/T10878","display_name":"CRISPR and Genetic Engineering","score":0.9365000128746033,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7888789176940918},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6974618434906006},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6639660596847534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863643884658813},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5713639855384827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.515072762966156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5092629194259644},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.48301494121551514},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4790114760398865},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.443763792514801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36901724338531494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3679395914077759},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29031825065612793}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7888789176940918},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6974618434906006},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6639660596847534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863643884658813},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5713639855384827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.515072762966156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5092629194259644},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.48301494121551514},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4790114760398865},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.443763792514801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36901724338531494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3679395914077759},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29031825065612793},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2248020","https://openalex.org/W89749504","https://openalex.org/W647054063","https://openalex.org/W1505852642","https://openalex.org/W1511275332","https://openalex.org/W1514948031","https://openalex.org/W1974386611","https://openalex.org/W1989101984","https://openalex.org/W2006158416","https://openalex.org/W2051777484","https://openalex.org/W2052153221","https://openalex.org/W2059193309","https://openalex.org/W2084028892","https://openalex.org/W2099123255","https://openalex.org/W2106565868","https://openalex.org/W2117648153","https://openalex.org/W2134367663","https://openalex.org/W2150657685","https://openalex.org/W2157838568","https://openalex.org/W2286297822","https://openalex.org/W4238724481","https://openalex.org/W6600081193","https://openalex.org/W6603715053","https://openalex.org/W6630725513"],"related_works":["https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2407804800","https://openalex.org/W2388864896","https://openalex.org/W2888937984","https://openalex.org/W2031651184","https://openalex.org/W2031173026","https://openalex.org/W2117265009","https://openalex.org/W2913388591","https://openalex.org/W2128012032"],"abstract_inverted_index":{"In":[0,101],"this":[1],"paper,":[2],"we":[3,44,67,90,106],"show":[4],"how":[5,46],"to":[6,47,95,103,136],"prune":[7],"the":[8,12,27,33,58,63,69,97,108,111,119,131,138,143,147],"population":[9,72],"size":[10,73],"of":[11,29,32,99,121,133,140,142],"Learning":[13],"Classifier":[14],"System":[15],"XCS":[16],"for":[17,53,76],"complex":[18,54],"problems.":[19],"We":[20,84],"say":[21],"a":[22,92],"problem":[23,38,51,65],"is":[24,40],"complex,":[25],"when":[26],"number":[28,98,132],"specified":[30],"bits":[31],"optimal":[34,59,70,122,144],"start":[35,60],"classifiers":[36,109,134,145],"(the":[37],"dimension)":[39],"not":[41,117],"constant.":[42,152],"First,":[43],"derive":[45],"estimate":[48],"an":[49],"equivalent":[50,64],"dimension":[52],"problems":[55],"based":[56],"on":[57],"classifiers.":[61,100],"With":[62],"dimension,":[66],"calculate":[68],"maximum":[71],"just":[74],"like":[75],"regular":[77],"problems,":[78],"which":[79,124],"has":[80,125],"already":[81],"been":[82,126],"done.":[83],"empirically":[85],"validate":[86],"our":[87],"results.":[88],"Furthermore,":[89],"introduce":[91],"subsumption":[93],"method":[94],"reduce":[96],"contrast":[102],"existing":[104],"methods,":[105],"subsume":[107],"after":[110],"learning":[112],"process,":[113],"so":[114],"subsuming":[115],"does":[116],"hinder":[118],"evolution":[120],"classifiers,":[123],"reported":[127],"previously.":[128],"After":[129],"subsumption,":[130],"drops":[135],"about":[137],"order":[139],"magnitude":[141],"while":[146],"correctness":[148],"rate":[149],"nearly":[150],"stays":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}