{"id":"https://openalex.org/W1990445621","doi":"https://doi.org/10.1109/iswcs.2010.5624274","title":"A competitive algorithm approach to adaptive filtering","display_name":"A competitive algorithm approach to adaptive filtering","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1990445621","doi":"https://doi.org/10.1109/iswcs.2010.5624274","mag":"1990445621"},"language":"en","primary_location":{"id":"doi:10.1109/iswcs.2010.5624274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs.2010.5624274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Wireless Communication Systems","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/A5028083945","display_name":"Andrew C. Singer","orcid":"https://orcid.org/0000-0001-9926-7036"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrew C. Singer","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA","Department of Electrical and Computer Engineering, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"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/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Suleyman S. Kozat","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Koc University, Istanbul, Turkey","[Department of Electrical and Electronics Engineering, KOC University Istanbul, Turkey]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Koc University, Istanbul, Turkey","institution_ids":["https://openalex.org/I1351752"]},{"raw_affiliation_string":"[Department of Electrical and Electronics Engineering, KOC University Istanbul, Turkey]","institution_ids":["https://openalex.org/I1351752"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028083945"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.391,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67173041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"350","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9988999962806702,"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":0.9988999962806702,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9973999857902527,"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":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.7064098119735718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5412914156913757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5396791100502014},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5344784259796143},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5301569104194641},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5154750943183899},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5019798278808594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4751793444156647},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.45347410440444946},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4421072006225586},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4108024537563324},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3311734199523926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22928988933563232},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.08865639567375183}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064098119735718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5412914156913757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396791100502014},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5344784259796143},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5301569104194641},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5154750943183899},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5019798278808594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4751793444156647},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.45347410440444946},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4421072006225586},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4108024537563324},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3311734199523926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22928988933563232},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.08865639567375183},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iswcs.2010.5624274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs.2010.5624274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Wireless Communication Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1483114294","https://openalex.org/W1599798800","https://openalex.org/W1968444040","https://openalex.org/W1970041563","https://openalex.org/W1979675141","https://openalex.org/W1982813377","https://openalex.org/W2009487047","https://openalex.org/W2010886500","https://openalex.org/W2023792512","https://openalex.org/W2040217797","https://openalex.org/W2050660892","https://openalex.org/W2093825590","https://openalex.org/W2096321607","https://openalex.org/W2097349926","https://openalex.org/W2099830893","https://openalex.org/W2103644547","https://openalex.org/W2105666660","https://openalex.org/W2119328597","https://openalex.org/W2120499560","https://openalex.org/W2131024393","https://openalex.org/W2141463438","https://openalex.org/W2144740475","https://openalex.org/W2148697118","https://openalex.org/W2149988068","https://openalex.org/W2155817051","https://openalex.org/W2163294786","https://openalex.org/W3149261725","https://openalex.org/W4248175720","https://openalex.org/W6674825846","https://openalex.org/W7075666595"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W2386430105"],"abstract_inverted_index":{"This":[0,26,151],"paper":[1,152],"explores":[2],"an":[3,92],"emerging":[4],"method":[5],"with":[6,133,142,160,189],"deep":[7],"roots":[8],"in":[9,35,44,64,101,111],"machine":[10],"learning":[11],"and":[12,47,58,91,167,202],"game":[13,71,75],"theory":[14],"that":[15,95,138,170],"has":[16],"been":[17,172],"applied":[18],"to":[19,69,106,118,122],"a":[20,39,65,74,77,85,103,161,179],"number":[21,162,181],"of":[22,42,49,52,55,88,156,163,175,182,191,194],"signal":[23],"processing":[24],"applications.":[25],"competitive":[27],"algorithm-based":[28],"framework":[29],"is":[30,38,116],"particularly":[31],"attractive":[32],"for":[33,128,198],"applications":[34],"which":[36],"there":[37],"large":[40,86],"degree":[41],"uncertainty":[43],"the":[45,50,82,97,108,120,124,129,149,154,206],"statistics":[46],"behavior":[48],"signals":[51],"interest.":[53],"Problems":[54],"prediction,":[56],"equalization":[57],"adaptive":[59,165,183],"filtering":[60,166,184],"can":[61,80,139],"be":[62,140],"cast":[63],"manner":[66],"intimately":[67],"related":[68],"repeated":[70],"playing":[72],"as":[73],"between":[76],"player,":[78],"who":[79],"observe":[81],"outcomes":[83,121],"from":[84],"class":[87],"competiting":[89],"algorithms,":[90],"adversarial":[93],"nature":[94,115],"produces":[96],"observations.":[98],"The":[99],"player":[100,130],"such":[102],"formulation":[104],"attempts":[105],"outperform":[107],"best":[109],"\u201cexpert\u201d":[110],"this":[112],"class,":[113],"while":[114],"free":[117],"select":[119],"defeat":[123],"player.":[125],"Min-max":[126],"strategies":[127],"naturally":[131],"arise":[132],"corresponding":[134],"bounds":[135],"on":[136,148],"performance":[137],"obtained":[141],"relatively":[143],"little":[144],"knowledge":[145],"or":[146],"contraints":[147],"outcomes.":[150],"reviews":[153],"history":[155],"these":[157],"methods,":[158],"together":[159],"robust":[164],"prediction":[168],"techniques":[169],"have":[171],"developed.":[173],"Examples":[174],"competition":[176,207],"classes":[177,193,208],"comprising":[178],"finite":[180],"algortihms":[185],"are":[186,209],"considered":[187],"along":[188],"examples":[190],"continuous":[192],"competing":[195],"algorithms.":[196],"Methods":[197],"incorporating":[199],"time":[200],"variation":[201],"nonlinearity":[203],"explicity":[204],"into":[205],"also":[210],"described.":[211]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
