{"id":"https://openalex.org/W2111413607","doi":"https://doi.org/10.1109/ijcnn.2004.1380001","title":"Why pairwise is better than one-against-all or all-at-once","display_name":"Why pairwise is better than one-against-all or all-at-once","publication_year":2005,"publication_date":"2005-01-31","ids":{"openalex":"https://openalex.org/W2111413607","doi":"https://doi.org/10.1109/ijcnn.2004.1380001","mag":"2111413607"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1380001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://da.lib.kobe-u.ac.jp/da/kernel/90000224/90000224.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090097060","display_name":"D. Tsujinishi","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"D. Tsujinishi","raw_affiliation_strings":["Graduate School of Science and Technology, Kobe University, Kobe, Japan","Graduate Sch. of Sci. & Technol., Kobe Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate Sch. of Sci. & Technol., Kobe Univ., Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056015177","display_name":"Yasuko Koshiba","orcid":"https://orcid.org/0000-0001-7189-0109"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Koshiba","raw_affiliation_strings":["Graduate School of Science and Technology, Kobe University, Kobe, Japan","Graduate Sch. of Sci. & Technol., Kobe Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate Sch. of Sci. & Technol., Kobe Univ., Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017496507","display_name":"Shigeo Abe","orcid":"https://orcid.org/0000-0002-6070-0338"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Abe","raw_affiliation_strings":["Graduate School of Science and Technology, Kobe University, Kobe, Japan","Graduate Sch. of Sci. & Technol., Kobe Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate Sch. of Sci. & Technol., Kobe Univ., Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090097060"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":1.1938,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.81200802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"693","last_page":"698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9909999966621399,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9907000064849854,"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":0.7908559441566467},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7266984581947327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6846479177474976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5633350014686584},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5528671741485596},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4791642725467682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46229809522628784},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4613281786441803},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.4510733485221863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4264165163040161},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42066675424575806},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.4206019341945648}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7908559441566467},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7266984581947327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6846479177474976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5633350014686584},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5528671741485596},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4791642725467682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46229809522628784},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4613281786441803},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.4510733485221863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4264165163040161},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42066675424575806},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.4206019341945648},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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":3,"locations":[{"id":"doi:10.1109/ijcnn.2004.1380001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},{"id":"pmh:oai:infocom.co.jp:G0000003oai:90000224","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407053249","display_name":"Infolib","issn_l":null,"issn":[],"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":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:irdb.nii.ac.jp:01257:0005611255","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14094/90000224","pdf_url":"https://da.lib.kobe-u.ac.jp/da/kernel/90000224/90000224.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01257:0005611255","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14094/90000224","pdf_url":"https://da.lib.kobe-u.ac.jp/da/kernel/90000224/90000224.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on","raw_type":"conference paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2111413607.pdf","grobid_xml":"https://content.openalex.org/works/W2111413607.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W105780082","https://openalex.org/W1269224004","https://openalex.org/W1559570474","https://openalex.org/W1596717185","https://openalex.org/W1605176376","https://openalex.org/W1676820704","https://openalex.org/W1851098677","https://openalex.org/W2001619934","https://openalex.org/W2005569959","https://openalex.org/W2052811266","https://openalex.org/W2103342147","https://openalex.org/W2120515362","https://openalex.org/W2148603752","https://openalex.org/W2157239837","https://openalex.org/W2172000360","https://openalex.org/W2413535096","https://openalex.org/W3101583054","https://openalex.org/W3119651796","https://openalex.org/W6604303633","https://openalex.org/W6628201468","https://openalex.org/W6633408921","https://openalex.org/W6639001314","https://openalex.org/W6683380652","https://openalex.org/W6716060506"],"related_works":["https://openalex.org/W2122277321","https://openalex.org/W2382231800","https://openalex.org/W2538830880","https://openalex.org/W2350302603","https://openalex.org/W2134202645","https://openalex.org/W2394871888","https://openalex.org/W2769345709","https://openalex.org/W3157224608","https://openalex.org/W2372354349","https://openalex.org/W2371052470"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"first":[3],"we":[4,14,38,77],"discuss":[5,15],"acceleration":[6],"of":[7,43,48,81,94,108],"classification":[8,67,92],"by":[9],"reducing":[10],"support":[11],"vectors.":[12],"Then,":[13],"multiclass":[16,26,82],"least":[17],"squares":[18],"SVMs":[19],"(LS-SVMs)":[20],"that":[21,53,91,107],"resolve":[22],"unclassifiable":[23],"regions":[24],"for":[25,84],"problems:":[27],"fuzzy":[28,31,55,95,109],"one-against-all":[29,56,96,98],"LS-SVMs,":[30,33],"pairwise":[32,110],"and":[34,51,58,89,97],"all-at-once":[35,60],"LS-SVMs.":[36,111],"Next,":[37],"compare":[39],"the":[40,46,54,59,73,102],"three":[41,79],"types":[42,80],"LS-SVMs":[44,83,99],"from":[45],"standpoint":[47],"training":[49],"difficulty":[50],"show":[52,90],"LS-SVM":[57,61],"have":[62],"similar":[63],"decision":[64],"boundaries":[65],"when":[66],"problems":[68],"are":[69,100],"linearly":[70],"separable":[71],"in":[72],"feature":[74],"space.":[75],"Finally,":[76],"evaluate":[78],"some":[85],"benchmark":[86],"data":[87],"sets":[88],"performance":[93],"almost":[101],"same":[103],"but":[104],"inferior":[105],"to":[106]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}