{"id":"https://openalex.org/W2911445670","doi":"https://doi.org/10.1007/s10589-019-00075-z","title":"A semismooth Newton method for support vector classification and regression","display_name":"A semismooth Newton method for support vector classification and regression","publication_year":2019,"publication_date":"2019-02-14","ids":{"openalex":"https://openalex.org/W2911445670","doi":"https://doi.org/10.1007/s10589-019-00075-z","mag":"2911445670"},"language":"en","primary_location":{"id":"doi:10.1007/s10589-019-00075-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10589-019-00075-z","pdf_url":null,"source":{"id":"https://openalex.org/S39243548","display_name":"Computational Optimization and Applications","issn_l":"0926-6003","issn":["0926-6003","1573-2894"],"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":"Computational Optimization and Applications","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/A5102878723","display_name":"Juan Yin","orcid":"https://orcid.org/0000-0003-1749-5807"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Yin","raw_affiliation_strings":["School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, 100081, China"],"raw_orcid":"https://orcid.org/0000-0003-1749-5807","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077587421","display_name":"Qingna Li","orcid":"https://orcid.org/0000-0002-1397-6200"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingna Li","raw_affiliation_strings":["School of Mathematics and Statistics, Beijing Key Laboratory on MCAACI, Beijing Institute of Technology, Beijing, 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Beijing Key Laboratory on MCAACI, Beijing Institute of Technology, Beijing, 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077587421"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":2.5237,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88878102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"73","issue":"2","first_page":"477","last_page":"508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing 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/T10500","display_name":"Sparse and Compressive Sensing 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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9988999962806702,"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/support-vector-machine","display_name":"Support vector machine","score":0.7151283621788025},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.664183497428894},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.658911943435669},{"id":"https://openalex.org/keywords/newtons-method","display_name":"Newton's method","score":0.5729449391365051},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5169931650161743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5050583481788635},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.48058462142944336},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4598579704761505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4587152302265167},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.451272189617157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4188164472579956},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4186899662017822},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41764116287231445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3324735760688782},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.13159453868865967},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09978035092353821}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7151283621788025},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.664183497428894},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.658911943435669},{"id":"https://openalex.org/C85189116","wikidata":"https://www.wikidata.org/wiki/Q374195","display_name":"Newton's method","level":3,"score":0.5729449391365051},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5169931650161743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5050583481788635},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.48058462142944336},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4598579704761505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4587152302265167},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.451272189617157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4188164472579956},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4186899662017822},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41764116287231445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3324735760688782},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.13159453868865967},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09978035092353821},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10589-019-00075-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10589-019-00075-z","pdf_url":null,"source":{"id":"https://openalex.org/S39243548","display_name":"Computational Optimization and Applications","issn_l":"0926-6003","issn":["0926-6003","1573-2894"],"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":"Computational Optimization and Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:coopap:v:73:y:2019:i:2:d:10.1007_s10589-019-00075-z","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10589-019-00075-z","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8280751709","display_name":null,"funder_award_id":"No. 11671036","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W1480376833","https://openalex.org/W1530699444","https://openalex.org/W1531097790","https://openalex.org/W1551360398","https://openalex.org/W1950693819","https://openalex.org/W1982501677","https://openalex.org/W1990908167","https://openalex.org/W1992688650","https://openalex.org/W1993105429","https://openalex.org/W1994616650","https://openalex.org/W2054489011","https://openalex.org/W2064575768","https://openalex.org/W2067547116","https://openalex.org/W2076605490","https://openalex.org/W2077482036","https://openalex.org/W2087347434","https://openalex.org/W2104481149","https://openalex.org/W2107275319","https://openalex.org/W2107438106","https://openalex.org/W2118585731","https://openalex.org/W2119821739","https://openalex.org/W2123737232","https://openalex.org/W2128529555","https://openalex.org/W2129191766","https://openalex.org/W2129877315","https://openalex.org/W2139410361","https://openalex.org/W2149270675","https://openalex.org/W2155214175","https://openalex.org/W2156909104","https://openalex.org/W2165966284","https://openalex.org/W2263437991","https://openalex.org/W2267401007","https://openalex.org/W2291445757","https://openalex.org/W2305539411","https://openalex.org/W2316564661","https://openalex.org/W2348538791","https://openalex.org/W2478925365","https://openalex.org/W2777871713","https://openalex.org/W2805569809","https://openalex.org/W2963433607","https://openalex.org/W2964048524","https://openalex.org/W4302591315","https://openalex.org/W6601250092","https://openalex.org/W6606511648","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W2097957716","https://openalex.org/W1989922445","https://openalex.org/W4292026839","https://openalex.org/W2922314686","https://openalex.org/W3015326790","https://openalex.org/W84551887","https://openalex.org/W2101947818","https://openalex.org/W2533714991","https://openalex.org/W2137055330","https://openalex.org/W2562964647"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
