{"id":"https://openalex.org/W1972377741","doi":"https://doi.org/10.1109/etfa.2012.6489767","title":"Fixed-budget kernel least mean squares","display_name":"Fixed-budget kernel least mean squares","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W1972377741","doi":"https://doi.org/10.1109/etfa.2012.6489767","mag":"1972377741"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2012.6489767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2012.6489767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies &amp; Factory Automation (ETFA 2012)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015334411","display_name":"Dominik Rzepka","orcid":"https://orcid.org/0000-0002-1159-2502"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Dominik Rzepka","raw_affiliation_strings":["Department of Electronics, AGH University of Science and Technology, Poland","AGH University of Science and Technology, Department of Electronics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, AGH University of Science and Technology, Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"AGH University of Science and Technology, Department of Electronics","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5015334411"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":1.6578,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81097864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"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/kernel","display_name":"Kernel (algebra)","score":0.6734165549278259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6419895887374878},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.5549196600914001},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5028038024902344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46888941526412964},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.44670236110687256},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.42359888553619385},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40885424613952637},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.37720614671707153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.370977520942688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25077301263809204},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09696748852729797}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6734165549278259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419895887374878},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.5549196600914001},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5028038024902344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46888941526412964},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.44670236110687256},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.42359888553619385},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40885424613952637},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.37720614671707153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.370977520942688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25077301263809204},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09696748852729797},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa.2012.6489767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2012.6489767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies &amp; Factory Automation (ETFA 2012)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1511988855","https://openalex.org/W1538882755","https://openalex.org/W1973914465","https://openalex.org/W1978996791","https://openalex.org/W1986280275","https://openalex.org/W2059443282","https://openalex.org/W2085560853","https://openalex.org/W2119821739","https://openalex.org/W2127961257","https://openalex.org/W2138013597","https://openalex.org/W2147733201","https://openalex.org/W2153290280","https://openalex.org/W2481926318","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W1963674083","https://openalex.org/W2140039100","https://openalex.org/W2089892314","https://openalex.org/W2357762447","https://openalex.org/W1603091392","https://openalex.org/W2386661643","https://openalex.org/W2370845081","https://openalex.org/W4386075310","https://openalex.org/W2095626363","https://openalex.org/W2169520161"],"abstract_inverted_index":{"In":[0,71],"this":[1,78],"paper":[2],"a":[3,18,41,85,112],"new":[4,42],"version":[5],"of":[6,24,67,74,122],"kernel":[7,32],"normalized":[8],"least":[9,49],"mean":[10],"squares":[11],"algorithm":[12,102],"is":[13,34,52],"proposed,":[14],"allowing":[15],"for":[16,58],"maintaining":[17],"fixed":[19],"memory":[20],"budget.":[21],"Constant":[22],"growth":[23],"the":[25,46,48,61,68,72,81,96,116],"support":[26,123],"vectors":[27,63,92],"dictionary,":[28,47],"inherent":[29],"to":[30,45,115],"online":[31],"methods":[33],"constrained":[35],"using":[36,119],"pruning":[37],"criterion.":[38],"After":[39],"admitting":[40],"input":[43,62],"vector":[44],"important":[50],"entry":[51],"found":[53],"and":[54,64,108],"removed.":[55],"This":[56],"allows":[57],"competition":[59],"among":[60],"dynamic":[65],"adaptation":[66],"dictionary":[69],"content.":[70],"task":[73],"time-varying":[75,106],"system":[76],"identification":[77],"method":[79],"has":[80],"clear":[82],"advantage":[83],"over":[84],"coherence":[86],"criterion":[87],"which":[88],"does":[89],"not":[90],"modify":[91],"already":[93],"present":[94],"in":[95,105],"dictionary.":[97],"Experimental":[98],"results":[99],"confirm":[100],"that":[101],"performs":[103],"well":[104],"environment":[107],"it":[109],"can":[110],"maintain":[111],"performance":[113],"comparable":[114],"state-of-the-art":[117],"algorithms,":[118],"smaller":[120],"number":[121],"vectors,":[124],"with":[125],"linear":[126],"complexity.":[127]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
