{"id":"https://openalex.org/W3083511445","doi":"https://doi.org/10.1007/s10489-020-01865-3","title":"Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions","display_name":"Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions","publication_year":2020,"publication_date":"2020-09-05","ids":{"openalex":"https://openalex.org/W3083511445","doi":"https://doi.org/10.1007/s10489-020-01865-3","mag":"3083511445"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-01865-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01865-3","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5100708158","display_name":"Hongwei Dong","orcid":"https://orcid.org/0000-0003-2629-2892"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Dong","raw_affiliation_strings":["College of Science, China Agricultural University, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Science, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032961377","display_name":"Liming Yang","orcid":"https://orcid.org/0000-0003-1475-3073"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Yang","raw_affiliation_strings":["College of Science, China Agricultural University, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Science, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422598","display_name":"Xue Wang","orcid":"https://orcid.org/0000-0003-2902-1393"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wang","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100708158"],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.615,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.81259584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"51","issue":"2","first_page":"819","last_page":"833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.998199999332428,"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/T12676","display_name":"Machine Learning and ELM","score":0.9952999949455261,"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/robustness","display_name":"Robustness (evolution)","score":0.6503239274024963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6345041394233704},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6290322542190552},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.54804927110672},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5192911028862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49537742137908936},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.4943234920501709},{"id":"https://openalex.org/keywords/hinge-loss","display_name":"Hinge loss","score":0.44062909483909607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42889106273651123},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4259116053581238},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3880229592323303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34339720010757446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32999005913734436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31180429458618164}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6503239274024963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345041394233704},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6290322542190552},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.54804927110672},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5192911028862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49537742137908936},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.4943234920501709},{"id":"https://openalex.org/C39891107","wikidata":"https://www.wikidata.org/wiki/Q5767098","display_name":"Hinge loss","level":3,"score":0.44062909483909607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42889106273651123},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4259116053581238},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3880229592323303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34339720010757446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32999005913734436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31180429458618164},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-01865-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01865-3","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1624804034","https://openalex.org/W1749992802","https://openalex.org/W1903303072","https://openalex.org/W1966949944","https://openalex.org/W1968120338","https://openalex.org/W1978996791","https://openalex.org/W1982032418","https://openalex.org/W1985134581","https://openalex.org/W1985819320","https://openalex.org/W1990494141","https://openalex.org/W1997029057","https://openalex.org/W2010824005","https://openalex.org/W2017719067","https://openalex.org/W2022465039","https://openalex.org/W2037984448","https://openalex.org/W2046033161","https://openalex.org/W2050849575","https://openalex.org/W2063506498","https://openalex.org/W2070902746","https://openalex.org/W2088622335","https://openalex.org/W2104290444","https://openalex.org/W2104520867","https://openalex.org/W2112733735","https://openalex.org/W2113713615","https://openalex.org/W2135160607","https://openalex.org/W2135990750","https://openalex.org/W2136504847","https://openalex.org/W2136627475","https://openalex.org/W2137853299","https://openalex.org/W2148665023","https://openalex.org/W2150477941","https://openalex.org/W2156909104","https://openalex.org/W2159937720","https://openalex.org/W2166329520","https://openalex.org/W2166765763","https://openalex.org/W2169042894","https://openalex.org/W2190605867","https://openalex.org/W2320204711","https://openalex.org/W2368520314","https://openalex.org/W2469661412","https://openalex.org/W2526516990","https://openalex.org/W2567611697","https://openalex.org/W2594577230","https://openalex.org/W2610347661","https://openalex.org/W2744171414","https://openalex.org/W2796982392","https://openalex.org/W2897024124","https://openalex.org/W2945753392","https://openalex.org/W2971342653","https://openalex.org/W3012669251","https://openalex.org/W4230367971"],"related_works":["https://openalex.org/W2942806827","https://openalex.org/W2036329542","https://openalex.org/W2187391117","https://openalex.org/W2056357792","https://openalex.org/W1981809986","https://openalex.org/W1843467136","https://openalex.org/W2949367465","https://openalex.org/W2006359264","https://openalex.org/W3029201158","https://openalex.org/W4299607453"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}