{"id":"https://openalex.org/W2742475338","doi":"https://doi.org/10.1145/3106426.3109427","title":"Stochastic gradient descent for large-scale linear nonparallel SVM","display_name":"Stochastic gradient descent for large-scale linear nonparallel SVM","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2742475338","doi":"https://doi.org/10.1145/3106426.3109427","mag":"2742475338"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3109427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109427","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-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/A5061554949","display_name":"Jingjing Tang","orcid":"https://orcid.org/0000-0003-1318-3566"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Tang","raw_affiliation_strings":["University of Chinese Academy of Sciences and Research Center on Fictitious Economy and Data Science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences and Research Center on Fictitious Economy and Data Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032861309","display_name":"Yingjie Tian","orcid":"https://orcid.org/0000-0002-4675-0398"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Tian","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047508093","display_name":"Guoqiang Wu","orcid":"https://orcid.org/0000-0003-4486-7944"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Wu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100650332","display_name":"Dewei Li","orcid":"https://orcid.org/0000-0002-8209-2185"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewei Li","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061554949"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0985,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.40985507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"980","last_page":"983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.8642746806144714},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8576592803001404},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.7416436672210693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6741718053817749},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5803750157356262},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5582985281944275},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49465057253837585},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4918210506439209},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41823717951774597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3998226225376129},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39207538962364197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33675119280815125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25546300411224365}],"concepts":[{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.8642746806144714},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8576592803001404},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.7416436672210693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741718053817749},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5803750157356262},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5582985281944275},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49465057253837585},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4918210506439209},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41823717951774597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3998226225376129},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39207538962364197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33675119280815125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25546300411224365},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3109427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109427","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1516903196","https://openalex.org/W2005876975","https://openalex.org/W2050454625","https://openalex.org/W2081621367","https://openalex.org/W2091825929","https://openalex.org/W2107438106","https://openalex.org/W2147950119","https://openalex.org/W2166706236","https://openalex.org/W2287669784","https://openalex.org/W2561355055"],"related_works":["https://openalex.org/W4206903459","https://openalex.org/W4286693783","https://openalex.org/W2754816816","https://openalex.org/W3175914740","https://openalex.org/W4366280654","https://openalex.org/W3160167280","https://openalex.org/W4294982320","https://openalex.org/W4231621013","https://openalex.org/W4362706668","https://openalex.org/W3034587794"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"nonparallel":[3,12,23],"support":[4,29],"vector":[5,30],"machine":[6,31],"(NPSVM)":[7],"is":[8,59,111,123],"proposed":[9],"as":[10,26],"a":[11,60,91],"hyperplane":[13],"classifier":[14],"with":[15,48],"superior":[16],"performance":[17],"than":[18],"standard":[19],"SVM":[20],"and":[21,38],"existing":[22,104],"classifiers":[24],"such":[25],"the":[27,34,49,76,96,114,117,139],"twin":[28],"(TWSVM).":[32],"With":[33],"perfect":[35],"theoretical":[36],"underpinnings":[37],"great":[39],"practical":[40],"success,":[41],"NPSVM":[42,68,101],"has":[43,70],"been":[44,72],"used":[45],"to":[46,94,126,137],"dealing":[47],"classification":[50,57],"tasks":[51],"on":[52,132],"different":[53,102],"scales.":[54],"Tackling":[55],"large-scale":[56,66,127,134],"problem":[58],"challenge":[61],"yet":[62],"significant":[63],"work.":[64],"Although":[65],"linear":[67,100],"model":[69],"already":[71],"efficiently":[73],"solved":[74],"by":[75],"dual":[77],"coordinate":[78],"descent":[79,120],"(DCD)":[80],"algorithm":[81,110],"or":[82],"alternating":[83],"direction":[84],"method":[85],"of":[86,99,116,141],"multipliers":[87],"(ADMM),":[88],"we":[89],"present":[90],"new":[92],"strategy":[93],"solve":[95],"primal":[97],"form":[98],"from":[103],"work":[105],"in":[106,113],"this":[107],"paper.":[108],"Our":[109],"designed":[112],"framework":[115],"stochastic":[118],"gradient":[119],"(SGD),":[121],"which":[122],"well":[124],"suited":[125],"problem.":[128],"Experiments":[129],"are":[130],"conducted":[131],"five":[133],"data":[135],"sets":[136],"confirm":[138],"effectiveness":[140],"our":[142],"method.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
