乐胖代购免代理版

{"id":"https://openalex.org/W2608021859","doi":"https://doi.org/10.1109/access.2017.2699662","title":"Fast Extended One-Versus-Rest Multi-Label Support Vector Machine Using Approximate Extreme Points","display_name":"Fast Extended One-Versus-Rest Multi-Label Support Vector Machine Using Approximate Extreme Points","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2608021859","doi":"https://doi.org/10.1109/access.2017.2699662","mag":"2608021859"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2699662","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2699662","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074118615","display_name":"Zhongwei Sun","orcid":"https://orcid.org/0000-0001-8615-7460"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"funder","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766490","display_name":"Zhongwen Guo","orcid":"https://orcid.org/0000-0002-6890-0107"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"funder","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwen Guo","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362891","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0001-7363-1987"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"funder","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018927991","display_name":"Xupeng Wang","orcid":"https://orcid.org/0000-0002-4160-8552"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"funder","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xupeng Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375136","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0003-4690-1886"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"funder","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101966282","display_name":"Shiyong Liu","orcid":"https://orcid.org/0000-0001-7986-5178"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"funder","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyong Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.889,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":15,"citation_normalized_percentile":{"value":0.793569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":"5","issue":null,"first_page":"8526","last_page":"8535"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9996,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9996,"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/T10057","display_name":"Face and Expression Recognition","score":0.9807,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9763,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/kernel","display_name":"Kernel (algebra)","score":0.5799929},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5745964},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4173035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7442922},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.74347913},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5799929},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5745964},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.54854953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.52591884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49033594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48575667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4566005},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.44084936},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4173035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17951298},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2699662","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/198f02ccd401451ebe41eeced07eef5c","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":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2699662","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61572448"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61379127"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61379128"},{"funder":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities","award_id":"201713016"}],"datasets":[],"versions":[],"referenced_works_count":30,"referenced_works":["https://openalex.org/W1267529520","https://openalex.org/W1512098439","https://openalex.org/W1753402186","https://openalex.org/W1773286549","https://openalex.org/W1918777288","https://openalex.org/W1986159170","https://openalex.org/W1993014433","https://openalex.org/W1994356124","https://openalex.org/W1997405810","https://openalex.org/W1999954155","https://openalex.org/W2027266161","https://openalex.org/W2029517229","https://openalex.org/W2052684427","https://openalex.org/W2053463056","https://openalex.org/W2064754513","https://openalex.org/W2114315281","https://openalex.org/W2118712128","https://openalex.org/W2119466907","https://openalex.org/W2127179243","https://openalex.org/W2153635508","https://openalex.org/W2155319834","https://openalex.org/W2156935079","https://openalex.org/W2162426832","https://openalex.org/W2166912588","https://openalex.org/W2307589391","https://openalex.org/W2318862362","https://openalex.org/W2602657355","https://openalex.org/W2952504976","https://openalex.org/W3015464002","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W3207760230","https://openalex.org/W2536018345","https://openalex.org/W2357114597","https://openalex.org/W2296488620","https://openalex.org/W2115416187","https://openalex.org/W17155033","https://openalex.org/W1590307681","https://openalex.org/W1496222301"],"abstract_inverted_index":{"Existing":[0],"extended":[1,53],"one-versus-rest":[2],"multi-label":[3,157],"support":[4],"vector":[5],"machine":[6],"(OVR-ESVM)":[7],"adopting":[8,72],"non-linear":[9],"kernel":[10],"is":[11,20,92,150],"seriously":[12],"restricted":[13],"by":[14,36],"excessive":[15],"training":[16,86,136,167],"time":[17,87,137],"when":[18],"it":[19,102,149],"applied":[21],"to":[22,28,49,94,113,153],"large-scale":[23,126],"data":[24,127],"set.":[25],"In":[26],"order":[27],"overcome":[29],"this":[30],"problem,":[31],"we":[32],"improve":[33],"the":[34,38,64,73,78,85,97,104,154],"OVR-ESVM":[35,54,98,145],"introducing":[37],"principle":[39],"of":[40,96,117,163],"approximate":[41,46,56,74,106],"extreme":[42,57,75],"points":[43,58,76],"and":[44,88,139,166],"new":[45,105],"ranking":[47,107],"loss":[48,108,111],"construct":[50],"a":[51],"novel":[52],"using":[55],"(AEML-ESVM).":[59],"By":[60],"optimizing":[61],"only":[62],"on":[63,123],"representative":[65],"set":[66],"which":[67],"can":[68,82,134],"be":[69],"acquired":[70],"via":[71],"method,":[77],"AEML-ESVM":[79,131],"classification":[80,90,99,132,142,146,159,164],"algorithm":[81,133],"substantially":[83],"shorten":[84],"its":[89],"performance":[91,143,165],"comparable":[93,141],"that":[95,130],"algorithm.":[100,147],"And":[101,148],"uses":[103],"as":[109],"empirical":[110],"term":[112],"exploit":[114],"label":[115],"correlation":[116],"individual":[118],"instance":[119],"directly.":[120],"Experimental":[121],"study":[122],"three":[124],"benchmark":[125],"sets":[128],"illustrates":[129],"reduce":[135],"greatly":[138],"achieve":[140],"with":[144],"also":[151],"superior":[152],"existing":[155],"fast":[156],"SVM":[158],"algorithms":[160],"in":[161],"terms":[162],"time.":[168]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2608021859","counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2025-04-15T20:57:16.916583","created_date":"2017-05-05"}