{"id":"https://openalex.org/W1749992802","doi":null,"title":"Feature Selection via Concave Minimization and Support Vector Machines","display_name":"Feature Selection via Concave Minimization and Support Vector Machines","publication_year":1998,"publication_date":"1998-07-24","ids":{"openalex":"https://openalex.org/W1749992802","mag":"1749992802"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.52.5153","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.5153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.cs.wisc.edu/math-prog/tech-reports/98-03.ps","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Paul S. Bradley","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul S. Bradley","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033672550","display_name":"Olvi L. Mangasarian","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"O. L. Mangasarian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.0976,"has_fulltext":false,"cited_by_count":984,"citation_normalized_percentile":{"value":0.98155769,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.3003000020980835,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.3003000020980835,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.26759999990463257,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.08139999955892563,"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/feature-selection","display_name":"feature selection","score":1.0},{"id":"https://openalex.org/keywords/concave-minimization","display_name":"concave minimization","score":0.9620000123977661},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9990000128746033},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.7580000162124634},{"id":"https://openalex.org/keywords/feature-suppression","display_name":"feature suppression","score":0.527999997138977},{"id":"https://openalex.org/keywords/numerical-comparison","display_name":"numerical comparison","score":0.49300000071525574}],"concepts":[{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6822616457939148},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6609113812446594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439699530601501},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.577125072479248},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5745838284492493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5081708431243896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46698328852653503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41140851378440857},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33170172572135925},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.52.5153","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.5153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.cs.wisc.edu/math-prog/tech-reports/98-03.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.85.6450","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.6450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iipl.fudan.edu.cn/~zhangjp/literatures/Statistical Learning Theory/Feature Selection via Concave Minimization and Support Vector.pdf","raw_type":"text"},{"id":"mag:1749992802","doi":null,"is_oa":false,"landing_page_url":"http://dblp.uni-trier.de/db/conf/icml/icml1998.html#BradleyM98","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1996657094","https://openalex.org/W2147524053","https://openalex.org/W2089582623","https://openalex.org/W2903412285","https://openalex.org/W2060432029","https://openalex.org/W2090267913","https://openalex.org/W1561728471","https://openalex.org/W2116710345","https://openalex.org/W1608032245","https://openalex.org/W2142323399"],"abstract_inverted_index":{"Computational":[0,133],"comparison":[1],"is":[2,44,87,139,153],"made":[3],"between":[4,16,72,123],"two":[5,17,58,125],"feature":[6,23,137],"selection":[7],"approaches":[8],"for":[9],"nding":[10],"a":[11,41,48,176,208],"separating":[12,42,69,131],"plane":[13,43,70,86],"that":[14,25,61,128,136,163],"discriminates":[15],"point":[18],"sets":[19,64,161,189],"in":[20,101,186],"an":[21,140,150],"n-dimensional":[22],"space":[24,81],"utilizes":[26],"as":[27,34],"few":[28],"of":[29,51,53,77,79,108,110,143],"the":[30,37,63,68,75,80,85,90,105,115,121,124,130,144,168,191,196],"n":[31],"features":[32,203],"(dimensions)":[33],"possible.":[35],"In":[36,89],"concaveminimization":[38],"approach":[39,94,148,171,199],"[19,5]":[40],"generated":[45],"by":[46,167,175,195,207],"minimizing":[47,104],"weighted":[49,106],"sum":[50,107],"distances":[52,109],"misclassi":[54,111],"ed":[55,112],"points":[56,113],"to":[57,83,103,114],"parallel":[59],"planes":[60,127],"bound":[62],"and":[65,172],"which":[66],"determine":[67,84],"midway":[71],"them.":[73],"Furthermore,":[74],"number":[76],"dimensions":[78],"used":[82],"minimized.":[88],"support":[91,145,177,209],"vector":[92,146,178,210],"machine":[93,147,179],"[27,":[95],"7,":[96],"1,":[97],"10,":[98],"24,":[99],"28],":[100],"addition":[102],"bounding":[116,126],"planes,":[117],"we":[118],"also":[119],"maximize":[120],"distance":[122],"generate":[129],"plane.":[132],"results":[134],"show":[135,162],"suppression":[138],"indirect":[141],"consequence":[142],"when":[149],"appropriate":[151],"norm":[152],"used.":[154],"Numerical":[155],"tests":[156],"on":[157],"6":[158],"public":[159],"data":[160,188],"classi":[164,192],"ers":[165,193],"trained":[166,174,206],"concave":[169,197],"minimization":[170,198],"those":[173,205],"have":[180],"comparable":[181],"10fold":[182],"cross-validation":[183],"correctness.":[184],"However,":[185],"all":[187],"tested,":[190],"obtained":[194],"selected":[200],"fewer":[201],"problem":[202],"than":[204],"machine.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":36},{"year":2021,"cited_by_count":42},{"year":2020,"cited_by_count":52},{"year":2019,"cited_by_count":58},{"year":2018,"cited_by_count":59},{"year":2017,"cited_by_count":69},{"year":2016,"cited_by_count":48},{"year":2015,"cited_by_count":55},{"year":2014,"cited_by_count":65},{"year":2013,"cited_by_count":61},{"year":2012,"cited_by_count":55}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}