{"id":"https://openalex.org/W2128636433","doi":"https://doi.org/10.3233/ida-160836","title":"Cascading randomized weighted majority: A new online ensemble learning algorithm","display_name":"Cascading randomized weighted majority: A new online ensemble learning algorithm","publication_year":2016,"publication_date":"2016-06-15","ids":{"openalex":"https://openalex.org/W2128636433","doi":"https://doi.org/10.3233/ida-160836","mag":"2128636433"},"language":"en","primary_location":{"id":"doi:10.3233/ida-160836","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-160836","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1403.0388","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088447284","display_name":"Mohammadzaman Zamani","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammadzaman Zamani","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA","Stony Brook University, Stony Brook NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University, Stony Brook NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039326288","display_name":"Hamid Beigy","orcid":"https://orcid.org/0000-0003-1679-2092"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamid Beigy","raw_affiliation_strings":["Sharif University of Technology, Tehran, Iran","Sharif University of Technology , Tehran , Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Sharif University of Technology , Tehran , Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032931538","display_name":"Amirreza Shaban","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amirreza Shaban","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088447284"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.3353,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66822542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":"4","first_page":"877","last_page":"889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9993000030517578,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9986000061035156,"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/ensemble-learning","display_name":"Ensemble learning","score":0.7320375442504883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177257537841797},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6813931465148926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.675194263458252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5784376859664917},{"id":"https://openalex.org/keywords/advice","display_name":"Advice (programming)","score":0.5433917045593262},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.4540853798389435},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.4507078528404236},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.43688973784446716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40537333488464355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3937567174434662},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.14906635880470276}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7320375442504883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177257537841797},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6813931465148926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.675194263458252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5784376859664917},{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.5433917045593262},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.4540853798389435},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.4507078528404236},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.43688973784446716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40537333488464355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3937567174434662},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.14906635880470276},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3233/ida-160836","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-160836","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"},{"id":"pmh:oai:arXiv.org:1403.0388","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1403.0388","pdf_url":"https://arxiv.org/pdf/1403.0388","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2128636433","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1403.0388","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.758.809","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.758.809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1403.0388.pdf","raw_type":"text"},{"id":"doi:10.48550/arxiv.1403.0388","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1403.0388","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1403.0388","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1403.0388","pdf_url":"https://arxiv.org/pdf/1403.0388","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2128636433.pdf","grobid_xml":"https://content.openalex.org/works/W2128636433.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W43501939","https://openalex.org/W109639835","https://openalex.org/W194355396","https://openalex.org/W1485997076","https://openalex.org/W1490501255","https://openalex.org/W1570963478","https://openalex.org/W1594797543","https://openalex.org/W1605688901","https://openalex.org/W1648417600","https://openalex.org/W1966280301","https://openalex.org/W1970483275","https://openalex.org/W1986049918","https://openalex.org/W1998523455","https://openalex.org/W2005951230","https://openalex.org/W2009487047","https://openalex.org/W2025653905","https://openalex.org/W2053469918","https://openalex.org/W2093825590","https://openalex.org/W2105779206","https://openalex.org/W2112076978","https://openalex.org/W2129092346","https://openalex.org/W2134271388","https://openalex.org/W2150884987","https://openalex.org/W2152761983","https://openalex.org/W2160598920","https://openalex.org/W2293873019","https://openalex.org/W2567876963","https://openalex.org/W2912573428","https://openalex.org/W3120740533","https://openalex.org/W4212883601","https://openalex.org/W4213059825","https://openalex.org/W6629264342","https://openalex.org/W6676769703","https://openalex.org/W6680192438","https://openalex.org/W6737347378"],"related_works":["https://openalex.org/W2155714768","https://openalex.org/W2742275837","https://openalex.org/W1853987460","https://openalex.org/W2904318241","https://openalex.org/W2573251448","https://openalex.org/W1977640460","https://openalex.org/W3080268723","https://openalex.org/W2968219101","https://openalex.org/W3103904664","https://openalex.org/W2552868416","https://openalex.org/W2811507669","https://openalex.org/W2968998092","https://openalex.org/W2266540192","https://openalex.org/W22027067","https://openalex.org/W1836715957","https://openalex.org/W2900601360","https://openalex.org/W2784149312","https://openalex.org/W3030563688","https://openalex.org/W2788085869","https://openalex.org/W2909288227"],"abstract_inverted_index":{"With":[0],"the":[1,6,45,55,72,79,86,101,132],"increasing":[2],"volume":[3],"of":[4,26,29,34,92,106,134,144],"data,":[5],"best":[7,73,80,102],"approach":[8],"for":[9,159],"learning":[10,19,49],"from":[11],"this":[12,66,116,122],"data":[13,93],"is":[14,40],"to":[15,31,65,69,71,100,111,120,131,146],"exploit":[16],"an":[17,27],"online":[18,46,128],"algorithm.":[20],"Online":[21],"ensemble":[22,28,129],"methods":[23],"take":[24],"advantage":[25],"classifiers":[30],"predict":[32],"labels":[33],"data.":[35],"Prediction":[36],"with":[37,136],"expert":[38,103,137],"advice":[39],"a":[41,112,126,141,155],"well-studied":[42],"problem":[43,123,133],"in":[44,89,104],"ensembl":[47],"e":[48],"literature.":[50],"The":[51],"weighted":[52,57],"majority":[53,58],"and":[54,98],"randomized":[56],"(RWM)":[59],"algorithms":[60],"are":[61],"two":[62],"well-known":[63],"solutions":[64],"problem,":[67],"aiming":[68],"converge":[70],"expert.":[74],"Since":[75],"among":[76],"some":[77],"expert,":[78],"one":[81],"does":[82],"not":[83,148],"necessarily":[84],"have":[85],"minimum":[87],"error":[88,157],"all":[90],"regions":[91,97,108],"space,":[94],"defining":[95],"specific":[96],"converging":[99],"each":[105],"these":[107],"will":[109],"lead":[110],"better":[113,150,156],"result.":[114],"In":[115],"paper,":[117],"we":[118],"aim":[119],"resolve":[121],"by":[124],"proposing":[125],"novel":[127],"algorithm":[130],"prediction":[135],"advice.":[138],"We":[139],"propose":[140],"cascading":[142],"version":[143],"RWM":[145],"achieve":[147],"only":[149],"experimental":[151],"results":[152],"but":[153],"also":[154],"bound":[158],"sufficiently":[160],"large":[161],"datasets.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
