{"id":"https://openalex.org/W2968724981","doi":"https://doi.org/10.3390/e21080785","title":"Kernel Mixture Correntropy Conjugate Gradient Algorithm for Time Series Prediction","display_name":"Kernel Mixture Correntropy Conjugate Gradient Algorithm for Time Series Prediction","publication_year":2019,"publication_date":"2019-08-11","ids":{"openalex":"https://openalex.org/W2968724981","doi":"https://doi.org/10.3390/e21080785","mag":"2968724981","pmid":"https://pubmed.ncbi.nlm.nih.gov/33267498"},"language":"en","primary_location":{"id":"doi:10.3390/e21080785","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21080785","pdf_url":"https://www.mdpi.com/1099-4300/21/8/785/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/21/8/785/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085921232","display_name":"Nan Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Xue","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070952629","display_name":"Xiong Luo","orcid":"https://orcid.org/0000-0002-1929-8447"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiong Luo","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0002-1929-8447","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016208052","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0002-3806-7644"},"institutions":[{"id":"https://openalex.org/I4210160629","display_name":"China Information Technology Security Evaluation Center","ror":"https://ror.org/053cexp66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["China Information Technology Security Evaluation Center, Beijing 100085, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Information Technology Security Evaluation Center, Beijing 100085, China","institution_ids":["https://openalex.org/I4210160629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442319","display_name":"Weiping Wang","orcid":"https://orcid.org/0000-0002-6796-7596"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Wang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447540","display_name":"Long Wang","orcid":"https://orcid.org/0000-0001-6695-6054"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Wang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070357433","display_name":"Chao Huang","orcid":"https://orcid.org/0000-0002-8012-3697"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065763841","display_name":"Wenbing Zhao","orcid":"https://orcid.org/0000-0002-3202-1127"},"institutions":[{"id":"https://openalex.org/I102607778","display_name":"Cleveland State University","ror":"https://ror.org/002tx1f22","country_code":"US","type":"education","lineage":["https://openalex.org/I102607778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbing Zhao","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USA"],"raw_orcid":"https://orcid.org/0000-0002-3202-1127","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USA","institution_ids":["https://openalex.org/I102607778"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5070952629"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.1649,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76840139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"8","first_page":"785","last_page":"785"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9993000030517578,"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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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/algorithm","display_name":"Algorithm","score":0.6897488236427307},{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.5956239700317383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5726397037506104},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5490168333053589},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4892251491546631},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.48910456895828247},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.481852650642395},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4423520565032959},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.4153783917427063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35784295201301575},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3534650504589081},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32620522379875183},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.155366450548172},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.14600637555122375}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6897488236427307},{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.5956239700317383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726397037506104},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5490168333053589},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4892251491546631},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.48910456895828247},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.481852650642395},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4423520565032959},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4153783917427063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35784295201301575},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3534650504589081},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32620522379875183},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.155366450548172},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.14600637555122375},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e21080785","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21080785","pdf_url":"https://www.mdpi.com/1099-4300/21/8/785/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33267498","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33267498","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:1b2f44da4fc846cd866607fa67deb519","is_oa":true,"landing_page_url":"https://doaj.org/article/1b2f44da4fc846cd866607fa67deb519","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 21, Iss 8, p 785 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/21/8/785/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e21080785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7515314","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7515314","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e21080785","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21080785","pdf_url":"https://www.mdpi.com/1099-4300/21/8/785/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2024381770","display_name":null,"funder_award_id":"2018YFC0808306","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2186729202","display_name":null,"funder_award_id":"TW201705","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3741151340","display_name":null,"funder_award_id":"U1836106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4208257585","display_name":null,"funder_award_id":"TW201705","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4334742389","display_name":null,"funder_award_id":"TW201705","funder_id":"https://openalex.org/F4320325365","funder_display_name":"University of Science and Technology Beijing"},{"id":"https://openalex.org/G490947414","display_name":null,"funder_award_id":"U1736117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6581383768","display_name":null,"funder_award_id":"TW201705","funder_id":"https://openalex.org/F4320324051","funder_display_name":"National Taipei University of Technology"},{"id":"https://openalex.org/G8647808534","display_name":null,"funder_award_id":"2018YFC0808306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324051","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09"},{"id":"https://openalex.org/F4320325365","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2968724981.pdf","grobid_xml":"https://content.openalex.org/works/W2968724981.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W565868953","https://openalex.org/W1258780651","https://openalex.org/W1701760339","https://openalex.org/W1758799351","https://openalex.org/W1966917005","https://openalex.org/W2012915481","https://openalex.org/W2037116712","https://openalex.org/W2041130390","https://openalex.org/W2060755415","https://openalex.org/W2071820974","https://openalex.org/W2085807744","https://openalex.org/W2112507308","https://openalex.org/W2114865067","https://openalex.org/W2123340494","https://openalex.org/W2126709692","https://openalex.org/W2153290280","https://openalex.org/W2162134425","https://openalex.org/W2167932108","https://openalex.org/W2296319761","https://openalex.org/W2425931228","https://openalex.org/W2481926318","https://openalex.org/W2508015754","https://openalex.org/W2528194423","https://openalex.org/W2544327364","https://openalex.org/W2559910380","https://openalex.org/W2579153588","https://openalex.org/W2745483335","https://openalex.org/W2746865825","https://openalex.org/W2747715470","https://openalex.org/W2753669113","https://openalex.org/W2774634569","https://openalex.org/W2788630562","https://openalex.org/W2789481185","https://openalex.org/W2789677693","https://openalex.org/W2800259501","https://openalex.org/W2821843609","https://openalex.org/W2863267419","https://openalex.org/W2883838096","https://openalex.org/W2905580465","https://openalex.org/W2906292261","https://openalex.org/W2912135847","https://openalex.org/W2913100396","https://openalex.org/W2921643066","https://openalex.org/W2949506549","https://openalex.org/W2963204406","https://openalex.org/W3011131042","https://openalex.org/W4230367971","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2207919472","https://openalex.org/W2098528027","https://openalex.org/W2625259661","https://openalex.org/W2544771389","https://openalex.org/W2388344948","https://openalex.org/W3197592642","https://openalex.org/W1922626558","https://openalex.org/W2048444161","https://openalex.org/W2353411190","https://openalex.org/W3211590003"],"abstract_inverted_index":{"Kernel":[0],"adaptive":[1],"filtering":[2,38],"(KAF)":[3],"is":[4,22,74,106,230],"an":[5],"effective":[6],"nonlinear":[7],"learning":[8,72,124],"algorithm,":[9,133,179],"which":[10,31,108],"has":[11,32,47,154,256],"been":[12,48],"widely":[13],"used":[14],"in":[15,87,94,163,177,193,241],"time":[16,208],"series":[17,209],"prediction.":[18],"The":[19,151,200,247],"traditional":[20],"KAF":[21,60],"based":[23,187],"on":[24,188,204],"the":[25,63,70,99,103,110,123,135,143,146,170,189,194,217,227,235,242],"stochastic":[26],"gradient":[27,44,140],"descent":[28],"(SGD)":[29],"method,":[30],"slow":[33],"convergence":[34],"speed":[35],"and":[36,158,210],"low":[37,51],"accuracy.":[39,267],"Hence,":[40],"a":[41,82,117,130,183,205,211,257],"kernel":[42,64,88,118,136,196],"conjugate":[43,139],"(KCG)":[45],"algorithm":[46,153,219,229,253],"proposed":[49,152,218,228,252],"with":[50,142],"computational":[52,156,223],"complexity,":[53],"while":[54],"achieving":[55],"comparable":[56],"performance":[57,73,162],"to":[58,120,234],"some":[59],"algorithms,":[61],"e.g.,":[62],"recursive":[65],"least":[66],"squares":[67],"(KRLS).":[68],"However,":[69],"robust":[71,95],"unsatisfactory,":[75],"when":[76],"using":[77],"KCG.":[78],"Meanwhile,":[79],"correntropy":[80,105,138,148],"as":[81,116],"local":[83],"similarity":[84],"measure":[85],"defined":[86],"space,":[89],"can":[90,159,220,263],"address":[91],"large":[92],"outliers":[93],"signal":[96],"processing.":[97],"On":[98],"basis":[100,173],"of":[101,112,145,238,244],"correntropy,":[102],"mixture":[104,111,137,147],"developed,":[107],"uses":[109],"two":[113],"Gaussian":[114],"functions":[115],"function":[119,174],"further":[121,168],"improve":[122],"performance.":[125,224],"Accordingly,":[126],"this":[127,178],"article":[128],"proposes":[129],"novel":[131],"KCG":[132],"named":[134],"(KMCCG),":[141],"help":[144],"criterion":[149,186],"(MCC).":[150],"less":[155],"complexity":[157],"achieve":[160,221,264],"better":[161,222],"non-Gaussian":[164],"noise":[165],"environments.":[166],"To":[167],"control":[169],"growing":[171],"radial":[172],"(RBF)":[175],"network":[176],"we":[180],"also":[181,231,262],"use":[182],"simple":[184],"sparsification":[185],"angle":[190],"between":[191],"elements":[192],"reproducing":[195],"Hilbert":[197],"space":[198],"(RKHS).":[199],"prediction":[201,240,266],"simulation":[202],"results":[203,248],"synthetic":[206],"chaotic":[207],"real":[212],"benchmark":[213],"dataset":[214],"show":[215],"that":[216,250],"In":[225],"addition,":[226],"successfully":[232],"applied":[233],"practical":[236],"tasks":[237],"malware":[239,245],"field":[243],"analysis.":[246],"demonstrate":[249],"our":[251],"not":[254],"only":[255],"short":[258],"training":[259],"time,":[260],"but":[261],"high":[265]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}