{"id":"https://openalex.org/W2004603520","doi":"https://doi.org/10.1109/ijcnn.2014.6889805","title":"The Parzen kernel approach to learning in non-stationary environment","display_name":"The Parzen kernel approach to learning in non-stationary environment","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2004603520","doi":"https://doi.org/10.1109/ijcnn.2014.6889805","mag":"2004603520"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5068660614","display_name":"Lena Pietruczuk","orcid":null},"institutions":[{"id":"https://openalex.org/I130294970","display_name":"Cz\u0119stochowa University of Technology","ror":"https://ror.org/046awyn59","country_code":"PL","type":"education","lineage":["https://openalex.org/I130294970"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Lena Pietruczuk","raw_affiliation_strings":["Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland","Inst. of Comput. Intell., Czestochowa Univ. of Technol., Czestochowa, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]},{"raw_affiliation_string":"Inst. of Comput. Intell., Czestochowa Univ. of Technol., Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043134796","display_name":"Leszek Rutkowski","orcid":"https://orcid.org/0000-0001-6960-9525"},"institutions":[{"id":"https://openalex.org/I130294970","display_name":"Cz\u0119stochowa University of Technology","ror":"https://ror.org/046awyn59","country_code":"PL","type":"education","lineage":["https://openalex.org/I130294970"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Leszek Rutkowski","raw_affiliation_strings":["Information Tehnology Institute, Academy of Menagement, L\u00f3d\u00e9, Poland","Inst. of Comput. Intell., Czestochowa Univ. of Technol., Czestochowa, Poland"],"affiliations":[{"raw_affiliation_string":"Information Tehnology Institute, Academy of Menagement, L\u00f3d\u00e9, Poland","institution_ids":[]},{"raw_affiliation_string":"Inst. of Comput. Intell., Czestochowa Univ. of Technol., Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056212950","display_name":"Maciej Jaworski","orcid":"https://orcid.org/0000-0002-8410-4231"},"institutions":[{"id":"https://openalex.org/I130294970","display_name":"Cz\u0119stochowa University of Technology","ror":"https://ror.org/046awyn59","country_code":"PL","type":"education","lineage":["https://openalex.org/I130294970"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Jaworski","raw_affiliation_strings":["Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland","Inst. of Comput. Intell., Czestochowa Univ. of Technol., Czestochowa, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]},{"raw_affiliation_string":"Inst. of Comput. Intell., Czestochowa Univ. of Technol., Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085197012","display_name":"Piotr Duda","orcid":"https://orcid.org/0000-0001-7182-1349"},"institutions":[{"id":"https://openalex.org/I130294970","display_name":"Cz\u0119stochowa University of Technology","ror":"https://ror.org/046awyn59","country_code":"PL","type":"education","lineage":["https://openalex.org/I130294970"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Duda","raw_affiliation_strings":["Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland","Inst. of Comput. Intell., Czestochowa Univ. of Technol., Czestochowa, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]},{"raw_affiliation_string":"Inst. of Comput. Intell., Czestochowa Univ. of Technol., Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068660614"],"corresponding_institution_ids":["https://openalex.org/I130294970"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80024991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"3319","last_page":"3323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.996999979019165,"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":0.996999979019165,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.98580002784729,"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":0.6791537404060364},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.6761673092842102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6228740811347961},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5895342826843262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5868518948554993},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.5789204239845276},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"Kernel regression","score":0.5557464957237244},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5411611795425415},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5099002122879028},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47899553179740906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47699835896492004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4761671721935272},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4258197546005249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3873107433319092},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3807891011238098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27273958921432495},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22632193565368652},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2146751880645752}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6791537404060364},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.6761673092842102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228740811347961},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5895342826843262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5868518948554993},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.5789204239845276},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.5557464957237244},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5411611795425415},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5099002122879028},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47899553179740906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47699835896492004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4761671721935272},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4258197546005249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3873107433319092},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3807891011238098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27273958921432495},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22632193565368652},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2146751880645752},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W43637044","https://openalex.org/W322952782","https://openalex.org/W1964168965","https://openalex.org/W1969143601","https://openalex.org/W1981762696","https://openalex.org/W1982039810","https://openalex.org/W1985602045","https://openalex.org/W1988135700","https://openalex.org/W1994720006","https://openalex.org/W1995357300","https://openalex.org/W2000454347","https://openalex.org/W2016474810","https://openalex.org/W2016544456","https://openalex.org/W2033287637","https://openalex.org/W2044574055","https://openalex.org/W2048552369","https://openalex.org/W2050880745","https://openalex.org/W2052345845","https://openalex.org/W2063495893","https://openalex.org/W2068319486","https://openalex.org/W2074988520","https://openalex.org/W2103753221","https://openalex.org/W2124357902","https://openalex.org/W2135335717","https://openalex.org/W2169554323","https://openalex.org/W3003253354","https://openalex.org/W6611181405","https://openalex.org/W6646691094","https://openalex.org/W6680192438"],"related_works":["https://openalex.org/W2184572292","https://openalex.org/W1541412963","https://openalex.org/W4321367829","https://openalex.org/W1509119367","https://openalex.org/W4309301076","https://openalex.org/W109499086","https://openalex.org/W2041704562","https://openalex.org/W2949120947","https://openalex.org/W2069527458","https://openalex.org/W4360985567"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3],"method":[4,42],"for":[5],"nonparametric":[6],"regression":[7,24],"estimation":[8],"in":[9],"non-stationary":[10,31,34],"environment":[11],"is":[12],"presented.":[13],"The":[14,36],"Parzen":[15],"kernels":[16],"are":[17,43,47],"used":[18],"to":[19,27],"design":[20],"the":[21,40],"recursive":[22],"general":[23],"neural":[25],"networks":[26],"track":[28],"changes":[29],"of":[30,39],"system":[32],"under":[33],"noise.":[35],"probabilistic":[37],"properties":[38],"proposed":[41],"investigated.":[44],"Experimental":[45],"results":[46],"presented":[48],"and":[49],"discussed.":[50]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}