{"id":"https://openalex.org/W2897603092","doi":"https://doi.org/10.1109/ijcnn.2018.8489498","title":"A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis","display_name":"A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897603092","doi":"https://doi.org/10.1109/ijcnn.2018.8489498","mag":"2897603092"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5075306367","display_name":"Jiyao Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyao Dong","raw_affiliation_strings":["School of Electrionic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrionic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090496649","display_name":"Yunfei Zheng","orcid":"https://orcid.org/0000-0002-0894-7018"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Zheng","raw_affiliation_strings":["School of Electrionic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrionic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["School of Electrionic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrionic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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/feature","display_name":"Feature (linguistics)","score":0.6635699272155762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6610080003738403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6539720296859741},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6414427757263184},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5700667500495911},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4719747006893158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4550108313560486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41419917345046997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34631526470184326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23287716507911682}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6635699272155762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610080003738403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6539720296859741},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6414427757263184},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5700667500495911},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4719747006893158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4550108313560486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41419917345046997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34631526470184326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23287716507911682},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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":31,"referenced_works":["https://openalex.org/W1492499319","https://openalex.org/W1530372899","https://openalex.org/W1819447595","https://openalex.org/W1882844461","https://openalex.org/W1986280275","https://openalex.org/W1986580492","https://openalex.org/W2011197824","https://openalex.org/W2012915481","https://openalex.org/W2022669094","https://openalex.org/W2026131661","https://openalex.org/W2026581470","https://openalex.org/W2030504178","https://openalex.org/W2038619475","https://openalex.org/W2038977320","https://openalex.org/W2066294032","https://openalex.org/W2071820974","https://openalex.org/W2112232251","https://openalex.org/W2114865067","https://openalex.org/W2122021878","https://openalex.org/W2126709692","https://openalex.org/W2144902422","https://openalex.org/W2153290280","https://openalex.org/W2158054309","https://openalex.org/W2167932108","https://openalex.org/W2189623837","https://openalex.org/W2246690383","https://openalex.org/W2481926318","https://openalex.org/W2540605416","https://openalex.org/W2963177408","https://openalex.org/W4285719527","https://openalex.org/W6681302627"],"related_works":["https://openalex.org/W1517908938","https://openalex.org/W2961085424","https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W4224009465","https://openalex.org/W2281834912","https://openalex.org/W4292523377"],"abstract_inverted_index":{"Random":[0],"feature":[1,13,82],"kernel":[2],"least":[3],"mean":[4],"square":[5],"RF":[6],"KLMS)":[7],"algorithms,":[8,60],"like":[9],"the":[10,19,25,29,41,76,79,90,93],"random":[11,80],"Fourier":[12],"KLMS":[14,26,83],"(RFF-KLMS),":[15],"can":[16],"effectively":[17],"reduce":[18],"computation":[20],"and":[21,61,78],"storage":[22],"burdens":[23],"of":[24,31,58,92],"algorithm":[27],"in":[28,50],"process":[30],"update.":[32],"However,":[33],"little":[34],"work":[35],"has":[36],"been":[37],"done":[38],"to":[39],"perform":[40],"convergence":[42,69],"analysis":[43,70],"for":[44,68],"such":[45],"algorithms.":[46],"To":[47],"this":[48,51],"end,":[49],"paper,":[52],"we":[53],"present":[54],"a":[55,65],"unified":[56],"framework":[57],"RF-KLMS":[59],"based":[62],"on":[63],"which,":[64],"universal":[66],"model":[67],"is":[71],"given.":[72],"As":[73],"two":[74],"examples,":[75],"RFF-KLMS":[77],"Gaussian":[81],"(RGF-KLMS)":[84],"are":[85],"discussed":[86],"detailedly.":[87],"Simulations":[88],"demonstrate":[89],"validity":[91],"theoretical":[94],"analysis.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}