{"id":"https://openalex.org/W2137959211","doi":"https://doi.org/10.1109/ijcnn.2003.1224006","title":"Ensemble of classifiers based incremental learning with dynamic voting weight update","display_name":"Ensemble of classifiers based incremental learning with dynamic voting weight update","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W2137959211","doi":"https://doi.org/10.1109/ijcnn.2003.1224006","mag":"2137959211"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1224006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5025314990","display_name":"Robi Polikar","orcid":"https://orcid.org/0000-0002-2739-4228"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R. Polikar","raw_affiliation_strings":["Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103102771","display_name":"Stefanie Krause","orcid":"https://orcid.org/0000-0002-1271-7514"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Krause","raw_affiliation_strings":["Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071922314","display_name":"Liz Burd","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Burd","raw_affiliation_strings":["Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA","institution_ids":["https://openalex.org/I44265643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025314990"],"corresponding_institution_ids":["https://openalex.org/I44265643"],"apc_list":null,"apc_paid":null,"fwci":0.8994,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81603328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"2770","last_page":"2775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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/T12676","display_name":"Machine Learning and ELM","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/T12761","display_name":"Data Stream Mining Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7604825496673584},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6669729351997375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6660822033882141},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6617966890335083},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6358659267425537},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.5965244770050049},{"id":"https://openalex.org/keywords/weighted-majority-algorithm","display_name":"Weighted Majority Algorithm","score":0.5854101777076721},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5754314661026001},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5046952962875366},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37546247243881226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3522931933403015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33298811316490173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32275480031967163},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.11879447102546692},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.07089883089065552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7604825496673584},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6669729351997375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6660822033882141},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6617966890335083},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6358659267425537},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.5965244770050049},{"id":"https://openalex.org/C95627357","wikidata":"https://www.wikidata.org/wiki/Q7979889","display_name":"Weighted Majority Algorithm","level":5,"score":0.5854101777076721},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5754314661026001},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5046952962875366},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37546247243881226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3522931933403015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33298811316490173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32275480031967163},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.11879447102546692},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.07089883089065552},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1224006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1605688901","https://openalex.org/W1657920769","https://openalex.org/W1914318842","https://openalex.org/W1950060225","https://openalex.org/W1982610692","https://openalex.org/W1988790447","https://openalex.org/W1996773027","https://openalex.org/W2035044274","https://openalex.org/W2038994994","https://openalex.org/W2090934479","https://openalex.org/W2093825590","https://openalex.org/W2103753221","https://openalex.org/W2130867619","https://openalex.org/W2135293965","https://openalex.org/W2158275940","https://openalex.org/W2160767978","https://openalex.org/W2166280719","https://openalex.org/W2335925837","https://openalex.org/W2610550445","https://openalex.org/W4239390603"],"related_works":["https://openalex.org/W2008876309","https://openalex.org/W3121841074","https://openalex.org/W2901018557","https://openalex.org/W2055572829","https://openalex.org/W2010932316","https://openalex.org/W2997514867","https://openalex.org/W2973321216","https://openalex.org/W4243868241","https://openalex.org/W2121434426","https://openalex.org/W4360861734"],"abstract_inverted_index":{"An":[0],"incremental":[1,50],"learning":[2,51,60],"algorithm":[3,55,88,109,183],"based":[4,27,115,166],"on":[5,28,104,116,122,167,174,194],"weighted":[6,146],"majority":[7,147],"voting":[8,22,39,148,158],"of":[9,12,33,58,113,149,171],"an":[10,44,117],"ensemble":[11],"classifiers":[13,114],"is":[14,43,56,143],"introduced":[15,49],"for":[16],"supervised":[17],"neural":[18],"networks,":[19],"where":[20,156],"the":[21,29,73,87,105,123,154,157,168,175,182],"weights":[23,159],"are":[24,160],"updated":[25,119],"dynamically":[26,162],"current":[30,176],"test":[31,177],"input":[32],"unknown":[34],"class.":[35],"The":[36,54,108,140],"algorithm's":[37],"dynamic":[38],"weight":[40],"update":[41],"feature":[42],"enhancement":[45],"to":[46,96,132],"our":[47],"previously":[48,84,134],"algorithm,":[52],"Learn++.":[53],"capable":[57],"incrementally":[59],"new":[61,74],"information":[62],"from":[63,78],"additional":[64,79,111],"datasets":[65,75,97],"that":[66,81,126],"may":[67],"later":[68],"become":[69],"available,":[70],"even":[71],"when":[72],"include":[76],"instances":[77],"classes":[80],"were":[82],"not":[83,135],"seen.":[85],"Furthermore,":[86],"retains":[89],"formerly":[90],"acquired":[91],"knowledge":[92],"without":[93],"requiring":[94],"access":[95],"used":[98],"earlier,":[99],"attaining":[100],"a":[101],"delicate":[102],"balance":[103],"stability-plasticity":[106],"dilemma.":[107],"creates":[110],"ensembles":[112],"iteratively":[118],"distribution":[120],"function":[121],"training":[124,128],"data":[125,178],"favors":[127],"with":[129],"increasingly":[130],"difficult":[131],"learn,":[133],"learned":[136],"and/or":[137],"unseen":[138],"instances.":[139],"final":[141],"classification":[142],"made":[144],"by":[145],"all":[150],"classifier":[151,173],"outputs":[152],"in":[153,184],"ensemble,":[155],"determined":[161],"during":[163],"actual":[164],"testing,":[165],"estimated":[169],"performance":[170],"each":[172],"instance.":[179],"We":[180],"present":[181],"its":[185,190],"entirety,":[186],"as":[187,189],"well":[188],"promising":[191],"simulation":[192],"results":[193],"two":[195],"real":[196],"world":[197],"applications.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"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"}