{"id":"https://openalex.org/W2170045179","doi":"https://doi.org/10.1080/03610910903072391","title":"Variable Selection for Support Vector Machines","display_name":"Variable Selection for Support Vector Machines","publication_year":2009,"publication_date":"2009-07-07","ids":{"openalex":"https://openalex.org/W2170045179","doi":"https://doi.org/10.1080/03610910903072391","mag":"2170045179"},"language":"en","primary_location":{"id":"doi:10.1080/03610910903072391","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903072391","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5045820437","display_name":"Surette Bierman","orcid":null},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Surette Bierman","raw_affiliation_strings":["Department of Statistics and Actuarial Science , University of Stellenbosch , Matieland , South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science , University of Stellenbosch , Matieland , South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112656722","display_name":"S. J. Steel","orcid":null},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Sarel Steel","raw_affiliation_strings":["Department of Statistics and Actuarial Science , University of Stellenbosch , Matieland , South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science , University of Stellenbosch , Matieland , South Africa","institution_ids":["https://openalex.org/I26092322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045820437"],"corresponding_institution_ids":["https://openalex.org/I26092322"],"apc_list":null,"apc_paid":null,"fwci":2.265,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.90072733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"38","issue":"8","first_page":"1640","last_page":"1658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9962000250816345,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9901999831199646,"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":0.8385368585586548},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6392648816108704},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.623097836971283},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5687980651855469},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.554258406162262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5307193994522095},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.466087281703949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45518654584884644},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4434768557548523},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42662298679351807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4055333435535431},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4041404128074646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3733058273792267},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29873326420783997},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07672342658042908}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8385368585586548},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6392648816108704},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.623097836971283},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5687980651855469},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.554258406162262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5307193994522095},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.466087281703949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45518654584884644},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4434768557548523},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42662298679351807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4055333435535431},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4041404128074646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3733058273792267},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29873326420783997},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07672342658042908},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910903072391","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903072391","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310145","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W146900863","https://openalex.org/W1510073064","https://openalex.org/W1544729927","https://openalex.org/W1560724230","https://openalex.org/W1986583171","https://openalex.org/W2003147081","https://openalex.org/W2004785362","https://openalex.org/W2017337590","https://openalex.org/W2027187790","https://openalex.org/W2097839764","https://openalex.org/W2102921788","https://openalex.org/W2113362355","https://openalex.org/W2113584252","https://openalex.org/W2116948717","https://openalex.org/W2119479037","https://openalex.org/W2122825543","https://openalex.org/W2124225314","https://openalex.org/W2134229366","https://openalex.org/W2135046866","https://openalex.org/W2142387771","https://openalex.org/W2151388232","https://openalex.org/W2155461849","https://openalex.org/W2158001550","https://openalex.org/W2170406903","https://openalex.org/W2310653300","https://openalex.org/W2997998108","https://openalex.org/W2999905431","https://openalex.org/W3120740533","https://openalex.org/W3144619878","https://openalex.org/W4214489032","https://openalex.org/W4249224842","https://openalex.org/W4251871045","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4315815996"],"abstract_inverted_index":{"Consider":[0],"using":[1],"values":[2],"of":[3,16,38,46,54,75,113],"variables":[4,57],"X":[5,7,9],"1,":[6],"2,\u2026,":[8],"p":[10,48,80],"to":[11,64,92],"classify":[12],"entities":[13],"into":[14],"one":[15],"two":[17],"classes.":[18],"Kernel-based":[19],"procedures":[20],"such":[21],"as":[22],"support":[23],"vector":[24],"machines":[25],"(SVMs)":[26],"are":[27,81],"well":[28],"suited":[29],"for":[30,67,96],"this":[31],"task.":[32],"In":[33],"general,":[34],"the":[35],"classification":[36],"accuracy":[37],"SVMs":[39,68],"can":[40],"be":[41],"substantially":[42],"improved":[43],"if":[44],"instead":[45],"all":[47],"candidate":[49],"variables,":[50],"a":[51,86,94,104,111],"smaller":[52],"subset":[53],"(say":[55],"m)":[56],"is":[58,69,90,101],"used.":[59],"A":[60],"new":[61,87,99],"two-step":[62],"approach":[63,100],"variable":[65,73],"selection":[66],"therefore":[70],"proposed:":[71],"best":[72],"subsets":[74],"size":[76],"k":[77],"=":[78],"1,2,\u2026,":[79],"first":[82],"identified,":[83],"and":[84,109],"then":[85],"data-dependent":[88],"criterion":[89],"used":[91],"determine":[93],"value":[95],"m.":[97],"The":[98],"evaluated":[102],"in":[103],"Monte":[105],"Carlo":[106],"simulation":[107],"study,":[108],"on":[110],"sample":[112],"data":[114],"sets.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}