{"id":"https://openalex.org/W2168145141","doi":"https://doi.org/10.3233/ida-150773","title":"Robust feature selection for multiclass Support Vector Machines using second-order cone programming","display_name":"Robust feature selection for multiclass Support Vector Machines using second-order cone programming","publication_year":2015,"publication_date":"2015-10-09","ids":{"openalex":"https://openalex.org/W2168145141","doi":"https://doi.org/10.3233/ida-150773","mag":"2168145141"},"language":"en","primary_location":{"id":"doi:10.3233/ida-150773","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-150773","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5031910124","display_name":"Julio L\u00f3pez","orcid":"https://orcid.org/0000-0001-9138-5302"},"institutions":[{"id":"https://openalex.org/I911713783","display_name":"Diego Portales University","ror":"https://ror.org/03gtdcg60","country_code":"CL","type":"education","lineage":["https://openalex.org/I911713783"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Julio L\u00f3pez","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Diego Portales, Ej\u00e9rcito 441, Santiago, Chile"],"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Diego Portales, Ej\u00e9rcito 441, Santiago, Chile","institution_ids":["https://openalex.org/I911713783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007513550","display_name":"Sebasti\u00e1n Maldonado","orcid":"https://orcid.org/0000-0002-7124-0437"},"institutions":[{"id":"https://openalex.org/I189977406","display_name":"Universidad de Los Andes, Chile","ror":"https://ror.org/03v0qd864","country_code":"CL","type":"education","lineage":["https://openalex.org/I189977406"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Sebasti\u00e1n Maldonado","raw_affiliation_strings":["Universidad de los Andes, Las Condes, Santiago, Chile","E-mail:"],"affiliations":[{"raw_affiliation_string":"Universidad de los Andes, Las Condes, Santiago, Chile","institution_ids":["https://openalex.org/I189977406"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007513550"],"corresponding_institution_ids":["https://openalex.org/I189977406"],"apc_list":null,"apc_paid":null,"fwci":0.9205,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8237245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"s1","first_page":"S117","last_page":"S133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9939000010490417,"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":0.9939000010490417,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.991599977016449,"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/T12676","display_name":"Machine Learning and ELM","score":0.9883000254631042,"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":0.7564424276351929},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7477043271064758},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.6934044361114502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6071566939353943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597326934337616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5338128209114075},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5337643623352051},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.5323686003684998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49512091279029846},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4947924017906189},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.454944372177124},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4538874924182892},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.42584142088890076},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.42255234718322754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39597147703170776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28883251547813416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24736124277114868}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7564424276351929},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7477043271064758},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.6934044361114502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6071566939353943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597326934337616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5338128209114075},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5337643623352051},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.5323686003684998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49512091279029846},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4947924017906189},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.454944372177124},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4538874924182892},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.42584142088890076},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.42255234718322754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39597147703170776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28883251547813416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24736124277114868},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.3233/ida-150773","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-150773","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1494922272","https://openalex.org/W1551136530","https://openalex.org/W1592785605","https://openalex.org/W1601759650","https://openalex.org/W1727290854","https://openalex.org/W1749992802","https://openalex.org/W1922017469","https://openalex.org/W1966701961","https://openalex.org/W1967073510","https://openalex.org/W1975664724","https://openalex.org/W1996932677","https://openalex.org/W2008227734","https://openalex.org/W2009923109","https://openalex.org/W2036349451","https://openalex.org/W2053886921","https://openalex.org/W2075779886","https://openalex.org/W2097413644","https://openalex.org/W2102739522","https://openalex.org/W2104580813","https://openalex.org/W2118064259","https://openalex.org/W2124225314","https://openalex.org/W2124704116","https://openalex.org/W2127658298","https://openalex.org/W2133537675","https://openalex.org/W2137476312","https://openalex.org/W2143426320","https://openalex.org/W2148603752","https://openalex.org/W2149168904","https://openalex.org/W2149954962","https://openalex.org/W2168228682","https://openalex.org/W2172000360","https://openalex.org/W2282078507","https://openalex.org/W2920909405","https://openalex.org/W3163638146","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2469829262","https://openalex.org/W2561617217","https://openalex.org/W3097449145","https://openalex.org/W2352800587","https://openalex.org/W4294811468","https://openalex.org/W2972916162","https://openalex.org/W2353238494","https://openalex.org/W2186666570","https://openalex.org/W2987210925"],"abstract_inverted_index":{"This":[0],"work":[1],"addresses":[2],"the":[3,43,69,79],"issue":[4],"of":[5,45,81,88],"high":[6],"dimensionality":[7],"for":[8,29,60],"linear":[9],"multiclass":[10,50,75],"Support":[11],"Vector":[12],"Machines":[13],"(SVMs)":[14],"using":[15],"second-order":[16],"cone":[17],"programming":[18],"(SOCP)":[19],"formulations.":[20],"These":[21],"formulations":[22],"provide":[23],"a":[24,53,64,82],"robust":[25],"and":[26],"efficient":[27],"framework":[28],"classification,":[30,51],"while":[31,52],"an":[32],"adequate":[33],"feature":[34,70],"selection":[35],"process":[36],"may":[37],"improve":[38],"predictive":[39],"performance.":[40,89],"We":[41],"extend":[42],"ideas":[44],"SOCP-SVM":[46],"from":[47],"binary":[48],"to":[49,67],"sequential":[54],"backward":[55],"elimination":[56],"algorithm":[57],"is":[58],"proposed":[59],"variable":[61],"selection,":[62],"defining":[63],"contribution":[65],"measure":[66],"determine":[68],"relevance.":[71],"Experimental":[72],"results":[73],"with":[74],"microarray":[76],"datasets":[77],"demonstrate":[78],"effectiveness":[80],"low-dimensional":[83],"data":[84],"representation":[85],"in":[86],"terms":[87]},"counts_by_year":[{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
