{"id":"https://openalex.org/W2435769662","doi":"https://doi.org/10.1109/siu.2016.7495933","title":"Big data signal processing using boosted RLS algorithm","display_name":"Big data signal processing using boosted RLS algorithm","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2435769662","doi":"https://doi.org/10.1109/siu.2016.7495933","mag":"2435769662"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2016.7495933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.bilkent.edu.tr/bitstreams/92c93f4c-7aae-43cf-bf40-2c924fa60dd8/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064582144","display_name":"Burak C. Civek","orcid":"https://orcid.org/0000-0003-3382-0833"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Burak C. Civek","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bilkent \u00dcniversitesi, Ankara, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bilkent \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011334297","display_name":"Dariush Kari","orcid":"https://orcid.org/0000-0001-8222-6748"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Dariush Kari","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bilkent \u00dcniversitesi, Ankara, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bilkent \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064912897","display_name":"\u0130brahim Delibalta","orcid":"https://orcid.org/0000-0002-7296-6301"},"institutions":[{"id":"https://openalex.org/I4210092500","display_name":"T\u00fcrk Telekom (Turkey)","ror":"https://ror.org/002famp79","country_code":"TR","type":"company","lineage":["https://openalex.org/I4210092500"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u0130brahim Delibalta","raw_affiliation_strings":["T\u00fcrk Telekom Labs, \u0130stanbul, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T\u00fcrk Telekom Labs, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4210092500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103267259","display_name":"S\u00fcleyman S. Kozat","orcid":"https://orcid.org/0000-0002-6488-3848"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"S\u00fcleyman S. Kozat","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bilkent \u00dcniversitesi, Ankara, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bilkent \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03383483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1089","last_page":"1092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9954000115394592,"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":0.9954000115394592,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9933000206947327,"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/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.8260202407836914},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6898845434188843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6851966381072998},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6575068235397339},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6489788293838501},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.6063229441642761},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6000398397445679},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.5019187927246094},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.4962671399116516},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49331751465797424},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.47249260544776917},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.43043655157089233},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.42229384183883667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3188350796699524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2230129837989807},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12830877304077148},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08100596070289612}],"concepts":[{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.8260202407836914},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6898845434188843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6851966381072998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6575068235397339},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6489788293838501},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.6063229441642761},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6000398397445679},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.5019187927246094},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.4962671399116516},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49331751465797424},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.47249260544776917},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.43043655157089233},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.42229384183883667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3188350796699524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2230129837989807},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12830877304077148},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08100596070289612},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2016.7495933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/37706","is_oa":true,"landing_page_url":"http://hdl.handle.net/11693/37706","pdf_url":"https://repository.bilkent.edu.tr/bitstreams/92c93f4c-7aae-43cf-bf40-2c924fa60dd8/download","source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:repository.bilkent.edu.tr:11693/37706","is_oa":true,"landing_page_url":"http://hdl.handle.net/11693/37706","pdf_url":"https://repository.bilkent.edu.tr/bitstreams/92c93f4c-7aae-43cf-bf40-2c924fa60dd8/download","source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2435769662.pdf","grobid_xml":"https://content.openalex.org/works/W2435769662.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W2357454918","https://openalex.org/W2079771791","https://openalex.org/W2144530466","https://openalex.org/W2476510629","https://openalex.org/W2105767219","https://openalex.org/W2556507952","https://openalex.org/W2567448372","https://openalex.org/W2023209729","https://openalex.org/W2331083824"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,79],"efficient":[3],"method":[4],"for":[5,106,127],"the":[6,49,59,68,71,75,83,89,96,103,110,119],"high":[7],"dimensional":[8],"data":[9,108],"regression.":[10],"To":[11],"this":[12,87],"end,":[13],"we":[14,43,100],"use":[15],"a":[16,24,45,128],"least":[17,26],"mean":[18],"squares":[19,27],"(LMS)":[20],"filter":[21,29,51,77,105],"followed":[22],"by":[23],"recursive":[25],"(RLS)":[28],"and":[30,118],"combine":[31],"them":[32],"via":[33],"boosting":[34],"notion":[35],"extensively":[36],"used":[37],"in":[38,55],"machine":[39],"learning":[40],"literature.":[41],"Moreover,":[42],"provide":[44],"novel":[46],"approach":[47],"where":[48],"RLS":[50,97,104],"is":[52,113,125],"updated":[53],"randomly":[54],"order":[56],"to":[57],"reduce":[58],"computational":[60,111],"complexity":[61,112],"while":[62],"not":[63,94],"giving":[64],"up":[65],"more":[66],"on":[67,82,86],"performance.":[69],"In":[70],"proposed":[72],"algorithm,":[73],"after":[74],"LMS":[76],"produces":[78],"estimate,":[80],"depending":[81],"error":[84],"made":[85],"step,":[88],"algorithm":[90,124],"decides":[91],"whether":[92],"or":[93],"updating":[95,102],"filter.":[98],"Since":[99],"avoid":[101],"all":[107],"sequence,":[109],"significantly":[114],"reduced.":[115],"Error":[116],"performance":[117],"computation":[120],"time":[121],"of":[122],"our":[123],"demonstrated":[126],"highly":[129],"realistic":[130],"scenario.":[131]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
