{"id":"https://openalex.org/W2344432845","doi":"https://doi.org/10.1109/tnnls.2016.2518223","title":"Robust Recurrent Kernel Online Learning","display_name":"Robust Recurrent Kernel Online Learning","publication_year":2016,"publication_date":"2016-02-15","ids":{"openalex":"https://openalex.org/W2344432845","doi":"https://doi.org/10.1109/tnnls.2016.2518223","mag":"2344432845","pmid":"https://pubmed.ncbi.nlm.nih.gov/26890925"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2518223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2518223","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101877666","display_name":"Qing Song","orcid":"https://orcid.org/0000-0003-2623-8802"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qing Song","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2623-8802","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440524","display_name":"Zhao Xu","orcid":"https://orcid.org/0000-0002-7600-9189"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;an, China","Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038018751","display_name":"Haijin Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haijin Fan","raw_affiliation_strings":["Technology and Research, Institute of High Performance Computing, Agency for Science, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technology and Research, Institute of High Performance Computing, Agency for Science, Singapore","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083472752","display_name":"Danwei Wang","orcid":"https://orcid.org/0000-0001-9669-4622"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Danwei Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7916,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82746274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"28","issue":"5","first_page":"1068","last_page":"1081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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/T12676","display_name":"Machine Learning and ELM","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6599680185317993},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6304178833961487},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6123741865158081},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5831242799758911},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5631456971168518},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.503344714641571},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.474112331867218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47353312373161316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4516238570213318},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4431668817996979},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4162130653858185},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.413412868976593},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41258054971694946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2470722794532776},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21018359065055847},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12741732597351074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599680185317993},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6304178833961487},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6123741865158081},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5831242799758911},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5631456971168518},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.503344714641571},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.474112331867218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47353312373161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4516238570213318},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4431668817996979},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4162130653858185},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.413412868976593},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41258054971694946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2470722794532776},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21018359065055847},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12741732597351074},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2016.2518223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2518223","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:26890925","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26890925","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W105751747","https://openalex.org/W1485981043","https://openalex.org/W1560724230","https://openalex.org/W1569320505","https://openalex.org/W1674799117","https://openalex.org/W1802825888","https://openalex.org/W1971129545","https://openalex.org/W1974336896","https://openalex.org/W2013742732","https://openalex.org/W2016589492","https://openalex.org/W2047063224","https://openalex.org/W2071820974","https://openalex.org/W2082233396","https://openalex.org/W2097773901","https://openalex.org/W2102743489","https://openalex.org/W2107221565","https://openalex.org/W2109996007","https://openalex.org/W2112124574","https://openalex.org/W2116148865","https://openalex.org/W2120879667","https://openalex.org/W2122021878","https://openalex.org/W2123167949","https://openalex.org/W2124776405","https://openalex.org/W2128274720","https://openalex.org/W2132749914","https://openalex.org/W2139320579","https://openalex.org/W2147202318","https://openalex.org/W2150590096","https://openalex.org/W2150621701","https://openalex.org/W2153290280","https://openalex.org/W2171566706","https://openalex.org/W2489292218","https://openalex.org/W2766736793","https://openalex.org/W3003446791","https://openalex.org/W3144619878","https://openalex.org/W4240661136","https://openalex.org/W6637157234","https://openalex.org/W6678248120","https://openalex.org/W6682610290","https://openalex.org/W6684975885"],"related_works":["https://openalex.org/W2089892314","https://openalex.org/W1603091392","https://openalex.org/W4386075310","https://openalex.org/W2095626363","https://openalex.org/W2169565408","https://openalex.org/W2127229869","https://openalex.org/W3123056048","https://openalex.org/W2150638158","https://openalex.org/W2121506664","https://openalex.org/W2363184354"],"abstract_inverted_index":{"We":[0],"propose":[1,72],"a":[2,24,53,62,91,97],"robust":[3,84],"recurrent":[4,15,25,45,111],"kernel":[5,21,92],"online":[6,26],"learning":[7,16],"(RRKOL)":[8],"algorithm":[9,32,103],"based":[10,95],"on":[11,52,96],"the":[12,20,41,57,68,73,80,106,110,120,126],"celebrated":[13],"real-time":[14],"approach":[17],"that":[18,79,115],"exploits":[19],"trick":[22],"in":[23,109],"training":[27],"manner.":[28],"The":[29,101],"novel":[30],"RRKOL":[31,102],"guarantees":[33],"weight":[34,81],"convergence":[35,82],"with":[36,61,90,131],"regularized":[37,107],"risk":[38],"management":[39],"through":[40,129],"use":[42],"of":[43,56],"adaptive":[44],"hyperparameters":[46],"for":[47],"superior":[48],"generalization":[49,127],"performance.":[50],"Based":[51],"new":[54],"concept":[55],"structure":[58,75],"update":[59,76],"error":[60,122],"variable":[63],"parameter":[64],"length,":[65],"we":[66,116],"are":[67],"first":[69],"one":[70],"to":[71],"detailed":[74],"error,":[77],"such":[78,114],"and":[83],"stability":[85],"proof":[86],"can":[87],"be":[88],"integrated":[89],"sparsification":[93,130],"scheme":[94],"solid":[98],"theoretical":[99],"ground.":[100],"automatically":[104],"weighs":[105],"term":[108],"loss":[112],"function,":[113],"not":[117],"only":[118],"minimize":[119],"estimation":[121],"but":[123],"also":[124],"improve":[125],"performance":[128],"simulation":[132],"support.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
