{"id":"https://openalex.org/W1965091098","doi":"https://doi.org/10.1109/ijcnn.2012.6252717","title":"An experimental evaluation of pairwise adaptive support vector machines","display_name":"An experimental evaluation of pairwise adaptive support vector machines","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1965091098","doi":"https://doi.org/10.1109/ijcnn.2012.6252717","mag":"1965091098"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087637078","display_name":"Kenny Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kenny Hong","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Newcastle, Australia","School of Electrical Engineering & Computer Science, The University of Newcastle, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Newcastle, Australia","institution_ids":["https://openalex.org/I78757542"]},{"raw_affiliation_string":"School of Electrical Engineering & Computer Science, The University of Newcastle, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054614441","display_name":"Stephan K. Chalup","orcid":"https://orcid.org/0000-0002-7886-3653"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stephan K. Chalup","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Newcastle, Australia","School of Electrical Engineering & Computer Science, The University of Newcastle, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Newcastle, Australia","institution_ids":["https://openalex.org/I78757542"]},{"raw_affiliation_string":"School of Electrical Engineering & Computer Science, The University of Newcastle, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043663034","display_name":"Robert King","orcid":"https://orcid.org/0000-0001-7495-6599"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Robert A.R. King","raw_affiliation_strings":["School of Mathematical and Physical Sciences, University of Newcastle, Australia","School of Mathematical and Physical Sciences, The University of Newcastle, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical and Physical Sciences, University of Newcastle, Australia","institution_ids":["https://openalex.org/I78757542"]},{"raw_affiliation_string":"School of Mathematical and Physical Sciences, The University of Newcastle, Australia","institution_ids":["https://openalex.org/I78757542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78757542"],"apc_list":null,"apc_paid":null,"fwci":1.1279,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79199696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9919000267982483,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8236191272735596},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7792941331863403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6374965906143188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6072845458984375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6051939725875854},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5701794028282166},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5270243883132935},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5120669007301331},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4707161784172058},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.4659944772720337},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46242278814315796},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4522732198238373},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.44840338826179504},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4323519468307495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38308557868003845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2945735454559326},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22132816910743713}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8236191272735596},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7792941331863403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6374965906143188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6072845458984375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6051939725875854},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5701794028282166},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5270243883132935},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5120669007301331},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4707161784172058},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4659944772720337},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46242278814315796},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4522732198238373},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.44840338826179504},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4323519468307495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38308557868003845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2945735454559326},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22132816910743713},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:uon:20059","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.13/1300381","pdf_url":null,"source":{"id":"https://openalex.org/S4377196471","display_name":"NOVA (University of Newcastle Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78757542","host_organization_name":"University of Newcastle Australia","host_organization_lineage":["https://openalex.org/I78757542"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1551909886","https://openalex.org/W1657174467","https://openalex.org/W1975226518","https://openalex.org/W1979354936","https://openalex.org/W1983486874","https://openalex.org/W1986870493","https://openalex.org/W1992392048","https://openalex.org/W1994141615","https://openalex.org/W1995969407","https://openalex.org/W1996516822","https://openalex.org/W1997789548","https://openalex.org/W2012611697","https://openalex.org/W2028993248","https://openalex.org/W2029642961","https://openalex.org/W2034489756","https://openalex.org/W2055555143","https://openalex.org/W2058824296","https://openalex.org/W2069760243","https://openalex.org/W2080772494","https://openalex.org/W2081697244","https://openalex.org/W2082618012","https://openalex.org/W2082670270","https://openalex.org/W2083030684","https://openalex.org/W2083482104","https://openalex.org/W2102798359","https://openalex.org/W2108844857","https://openalex.org/W2118978333","https://openalex.org/W2119821739","https://openalex.org/W2132791018","https://openalex.org/W2133864802","https://openalex.org/W2142265066","https://openalex.org/W2144562310","https://openalex.org/W2146049876","https://openalex.org/W2146194630","https://openalex.org/W2148603752","https://openalex.org/W2152259680","https://openalex.org/W2154776925","https://openalex.org/W2158143121","https://openalex.org/W2159549127","https://openalex.org/W2160220161","https://openalex.org/W2164832081","https://openalex.org/W2166361453","https://openalex.org/W2172000360","https://openalex.org/W2172027871","https://openalex.org/W3014813097","https://openalex.org/W3120421331","https://openalex.org/W3120740533","https://openalex.org/W3163638146","https://openalex.org/W4239510810","https://openalex.org/W4252310231","https://openalex.org/W6671112727","https://openalex.org/W6679745481","https://openalex.org/W6680007464","https://openalex.org/W6682981795","https://openalex.org/W6795924076"],"related_works":["https://openalex.org/W597801233","https://openalex.org/W1537592868","https://openalex.org/W2470590370","https://openalex.org/W2322862995","https://openalex.org/W2115004088","https://openalex.org/W2326911702","https://openalex.org/W2741028958","https://openalex.org/W3080261722","https://openalex.org/W2538877382","https://openalex.org/W2157724128"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"and":[3,53,87,103,119,147],"experimentally":[4],"evaluates":[5],"a":[6,26,54],"new":[7,179],"variation":[8],"of":[9,85,158,166],"multiclass":[10,28],"classification":[11,47,81],"using":[12,36,172],"support":[13,21,159],"vector":[14,22],"machines.":[15],"The":[16,135],"technique,":[17],"called":[18],"pairwise":[19],"adaptive":[20],"machines":[23],"(pa-SVM),":[24],"is":[25,161,181],"one-vs-one":[27],"classifier":[29,33,75],"with":[30,76,169],"each":[31,73],"binary":[32,74],"optimized":[34],"towards":[35],"the":[37,44,63,77,111,120,130,139,144,150,156,164,173,178],"best":[38,45,64,79],"(C,\u03b3)":[39,65,70],"parameter":[40],"pair":[41],"to":[42,61],"obtain":[43],"correct":[46,80],"rate.":[48],"An":[49],"exponential":[50],"grid":[51],"search":[52],"10-fold":[55],"cross":[56],"validation":[57],"algorithm":[58],"was":[59],"used":[60,110],"determine":[62],"pair.":[66],"To":[67],"evaluate":[68],"multiple":[69],"pairs":[71],"for":[72,117],"same":[78,174],"rate,":[82],"four":[83],"scenarios":[84],"C":[86,92,96,100,105,152],"\u03b3":[88,102,154],"were":[89,122],"explored":[90],"(min":[91],"min":[93,95,101,153],"\u03b3,":[94,98],"max":[97,99,104,106,151],"\u03b3).":[107],"Each":[108],"experiment":[109],"radial":[112],"basis":[113],"function":[114],"(RBF)":[115],"kernel":[116],"training,":[118],"results":[121,136,168],"obtained":[123],"on":[124],"23":[125],"real":[126],"world":[127],"datasets":[128,175],"from":[129],"UCI":[131],"Machine":[132],"Learning":[133],"Repository.":[134],"show":[137,176],"that":[138,177],"pa-SVM":[140],"approach":[141,146],"mostly":[142],"outperforms":[143],"standard":[145],"by":[148],"selecting":[149],"scenario":[155],"number":[157],"vectors":[160],"minimized.":[162],"Furthermore,":[163],"comparison":[165],"our":[167],"recent":[170],"studies":[171],"technique":[180],"very":[182],"competitive.":[183]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
