{"id":"https://openalex.org/W2081557347","doi":"https://doi.org/10.1145/1015330.1015421","title":"A theoretical characterization of linear SVM-based feature selection","display_name":"A theoretical characterization of linear SVM-based feature selection","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2081557347","doi":"https://doi.org/10.1145/1015330.1015421","mag":"2081557347"},"language":"en","primary_location":{"id":"doi:10.1145/1015330.1015421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1015330.1015421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twenty-first international conference on Machine learning - ICML '04","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5066655505","display_name":"Douglas P. Hardin","orcid":"https://orcid.org/0000-0003-0867-2146"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Hardin","raw_affiliation_strings":["Vanderbilt University, Nashville, TN","Vanderbilt University,Nashville,TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt University,Nashville,TN","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070582381","display_name":"Ioannis Tsamardinos","orcid":"https://orcid.org/0000-0002-2492-959X"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ioannis Tsamardinos","raw_affiliation_strings":["Vanderbilt University, Nashville, TN","Vanderbilt University,Nashville,TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt University,Nashville,TN","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113735333","display_name":"Constantin Aliferis","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Constantin F. Aliferis","raw_affiliation_strings":["Vanderbilt University, Nashville, TN","Vanderbilt University,Nashville,TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt University,Nashville,TN","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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":0.9979000091552734,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.993399977684021,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7388667464256287},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7152771949768066},{"id":"https://openalex.org/keywords/markov-blanket","display_name":"Markov blanket","score":0.6749395132064819},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.635666012763977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5935161113739014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5467395782470703},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4276065528392792},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.4161984622478485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40056341886520386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35828685760498047},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.314502477645874},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.1423863172531128},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.12716379761695862}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7388667464256287},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7152771949768066},{"id":"https://openalex.org/C123867240","wikidata":"https://www.wikidata.org/wiki/Q3001792","display_name":"Markov blanket","level":5,"score":0.6749395132064819},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.635666012763977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5935161113739014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5467395782470703},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4276065528392792},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.4161984622478485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40056341886520386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35828685760498047},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.314502477645874},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.1423863172531128},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.12716379761695862},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1015330.1015421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1015330.1015421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twenty-first international conference on Machine learning - ICML '04","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W149574399","https://openalex.org/W1605479404","https://openalex.org/W1899161704","https://openalex.org/W2017337590","https://openalex.org/W2031779765","https://openalex.org/W2034562813","https://openalex.org/W2098175874","https://openalex.org/W2121273346","https://openalex.org/W2129564794","https://openalex.org/W2143426320","https://openalex.org/W2148603752","https://openalex.org/W2150470820","https://openalex.org/W2156909104","https://openalex.org/W2168420538","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2123587139","https://openalex.org/W2797721853","https://openalex.org/W2510548579","https://openalex.org/W2161642932","https://openalex.org/W49111948","https://openalex.org/W4206306045","https://openalex.org/W2307705085","https://openalex.org/W3186106104","https://openalex.org/W3023326395","https://openalex.org/W2159351263"],"abstract_inverted_index":{"Most":[0],"prevalent":[1],"techniques":[2],"in":[3,38,61,143],"Support":[4],"Vector":[5],"Machine":[6],"(SVM)":[7],"feature":[8,117,134],"selection":[9,118,135],"are":[10,21,25,113],"based":[11,133],"on":[12],"the":[13,16,39,42,62,65,81,99,102],"intuition":[14],"that":[15,20,36,112,137],"weights":[17,87],"of":[18,98,101,147],"features":[19,109,111],"close":[22],"to":[23,88],"zero":[24,54,86],"not":[26,139],"required":[27,94],"for":[28,95,115,154],"optimal":[29,49,96,116],"classification.":[30],"In":[31],"this":[32],"paper":[33],"we":[34],"show":[35],"indeed,":[37],"sample":[40],"limit,":[41],"irrelevant":[43],"variables":[44,91,93],"(in":[45],"a":[46,57,144],"theoretical":[47,74],"and":[48,64,105,128,149],"sense)":[50],"will":[51],"be":[52,152],"given":[53,119],"weight":[55],"by":[56],"linear":[58,82],"SVM,":[59],"both":[60],"soft":[63],"hard":[66],"margin":[67],"case.":[68],"However,":[69],"SVM-based":[70],"methods":[71],"have":[72,140],"certain":[73],"disadvantages":[75,142],"too.":[76],"We":[77,126],"present":[78],"examples":[79],"where":[80,106],"SVM":[83],"may":[84,122],"assign":[85],"strongly":[89],"relevant":[90,108],"(i.e.,":[92,110],"estimation":[97],"distribution":[100],"target":[103],"variable)":[104],"weakly":[107],"superfluous":[114],"other":[120],"features)":[121],"get":[123],"non-zero":[124],"weights.":[125],"contrast":[127],"theoretically":[129],"compare":[130],"with":[131],"Markov-Blanket":[132],"algorithms":[136],"do":[138],"such":[141],"broad":[145],"class":[146],"distributions":[148],"could":[150],"also":[151],"used":[153],"causal":[155],"discovery.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}