{"id":"https://openalex.org/W3121361649","doi":"https://doi.org/10.1109/lsp.2021.3052135","title":"Online EM-Based Ensemble Classification With Correlated Agents","display_name":"Online EM-Based Ensemble Classification With Correlated Agents","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3121361649","doi":"https://doi.org/10.1109/lsp.2021.3052135","mag":"3121361649"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3052135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3052135","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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":null,"display_name":"Emre Efendi","orcid":"https://orcid.org/0000-0003-2126-7356"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Emre Efendi","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Hacettepe University, Beytepe Campus, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-2126-7356","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Hacettepe University, Beytepe Campus, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":null,"display_name":"Berkan Dulek","orcid":"https://orcid.org/0000-0002-3014-5097"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Berkan Dulek","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Hacettepe University, Beytepe Campus, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-3014-5097","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Hacettepe University, Beytepe Campus, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1399,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5173028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"28","issue":null,"first_page":"294","last_page":"298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9922000169754028,"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":0.9922000169754028,"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":0.9876000285148621,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/bernoullis-principle","display_name":"Bernoulli's principle","score":0.673560619354248},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6105582118034363},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5798795223236084},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5771071910858154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5729421377182007},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5552777051925659},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5156537294387817},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5054786205291748},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.48793455958366394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45036789774894714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.443459689617157},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.42864280939102173},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.4173598289489746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3785080015659332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3572392165660858},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34489816427230835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34276700019836426},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.3367187976837158},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19056791067123413},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13874849677085876}],"concepts":[{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.673560619354248},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6105582118034363},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5798795223236084},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5771071910858154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5729421377182007},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5552777051925659},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5156537294387817},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5054786205291748},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.48793455958366394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45036789774894714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.443459689617157},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.42864280939102173},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.4173598289489746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3785080015659332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3572392165660858},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34489816427230835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34276700019836426},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.3367187976837158},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19056791067123413},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13874849677085876},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3052135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3052135","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W1686266550","https://openalex.org/W1987125632","https://openalex.org/W1991137221","https://openalex.org/W2005935422","https://openalex.org/W2021523331","https://openalex.org/W2033258526","https://openalex.org/W2049633694","https://openalex.org/W2110129072","https://openalex.org/W2134305421","https://openalex.org/W2146156326","https://openalex.org/W2511082080","https://openalex.org/W2513373031","https://openalex.org/W2768726319","https://openalex.org/W2789758093","https://openalex.org/W2803953503","https://openalex.org/W2884765233","https://openalex.org/W2946203786","https://openalex.org/W2962851264","https://openalex.org/W2963761635","https://openalex.org/W2982646726","https://openalex.org/W3022182432","https://openalex.org/W3040780676","https://openalex.org/W3102166889","https://openalex.org/W3106158933","https://openalex.org/W4300788186","https://openalex.org/W6679959949","https://openalex.org/W6681239581","https://openalex.org/W6682576451","https://openalex.org/W6689554689","https://openalex.org/W6751631002"],"related_works":["https://openalex.org/W1978153144","https://openalex.org/W102848802","https://openalex.org/W2982058819","https://openalex.org/W2130734797","https://openalex.org/W2172249169","https://openalex.org/W3176361882","https://openalex.org/W2122958477","https://openalex.org/W2025556230","https://openalex.org/W2150061385","https://openalex.org/W1544505002"],"abstract_inverted_index":{"A":[0],"binary":[1,44],"ensemble":[2,79],"classification":[3],"method":[4],"that":[5],"sequentially":[6],"processes":[7],"the":[8,16,43,47,51,70,78,86,88,104,112],"data":[9],"collected":[10],"from":[11],"multiple":[12,101],"decision":[13],"agents":[14],"in":[15],"presence":[17],"of":[18,42,50],"parameter":[19,71],"uncertainties":[20],"is":[21,66,84],"proposed.":[22],"Agents":[23],"are":[24,32,56,74,108],"assumed":[25],"to":[26,68,95,110],"form":[27],"correlated":[28],"groups":[29],"whose":[30],"decisions":[31],"modeled":[33],"as":[34,58],"multivariate":[35],"Bernoulli":[36],"random":[37],"vectors.":[38],"The":[39,81],"prior":[40],"probabilities":[41,49],"hypotheses":[45],"and":[46],"corresponding":[48],"outcomes":[52],"under":[53],"each":[54],"hypothesis":[55],"treated":[57],"unknown":[59],"deterministic":[60],"parameters.":[61],"Capp\u00e9's":[62],"online":[63],"Expectation-Maximization":[64],"algorithm":[65],"employed":[67],"estimate":[69],"values,":[72],"which":[73,99],"then":[75],"fed":[76],"into":[77],"classifier.":[80],"proposed":[82],"technique":[83],"shown":[85],"reduce":[87],"computational":[89],"complexity":[90],"while":[91],"delivering":[92],"performance":[93],"close":[94],"its":[96],"offline":[97],"counterpart,":[98],"requires":[100],"passes":[102],"over":[103],"data.":[105],"Numerical":[106],"examples":[107],"presented":[109],"corroborate":[111],"results.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
