{"id":"https://openalex.org/W3023050749","doi":"https://doi.org/10.1109/tcyb.2020.2982445","title":"A Survey on Sparse Learning Models for Feature Selection","display_name":"A Survey on Sparse Learning Models for Feature Selection","publication_year":2020,"publication_date":"2020-05-06","ids":{"openalex":"https://openalex.org/W3023050749","doi":"https://doi.org/10.1109/tcyb.2020.2982445","mag":"3023050749","pmid":"https://pubmed.ncbi.nlm.nih.gov/32386172"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.2982445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2982445","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5041611973","display_name":"Xiaoping Li","orcid":"https://orcid.org/0000-0003-3201-0038"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Li","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3201-0038","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101726317","display_name":"Yadi Wang","orcid":"https://orcid.org/0000-0001-9073-9308"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadi Wang","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9073-9308","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027802981","display_name":"Rub\u00e9n Ru\u00edz","orcid":"https://orcid.org/0000-0003-3295-3888"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ruben Ruiz","raw_affiliation_strings":["Grupo de Sistemas de Optimizaci\u00f3n Aplicada, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain"],"raw_orcid":"https://orcid.org/0000-0003-3295-3888","affiliations":[{"raw_affiliation_string":"Grupo de Sistemas de Optimizaci\u00f3n Aplicada, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.5152,"has_fulltext":false,"cited_by_count":165,"citation_normalized_percentile":{"value":0.98172187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"52","issue":"3","first_page":"1642","last_page":"1660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T12676","display_name":"Machine Learning and ELM","score":0.9952999949455261,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.994700014591217,"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":0.8041002750396729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7077809572219849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7043052911758423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6866649389266968},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6212013959884644},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5896704196929932},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5363285541534424},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44132617115974426}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8041002750396729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077809572219849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7043052911758423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6866649389266968},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6212013959884644},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5896704196929932},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5363285541534424},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44132617115974426},{"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":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.2982445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2982445","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:32386172","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32386172","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5299999713897705,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G31233193","display_name":"\u5927\u6570\u636e\u73af\u5883\u4e0b\u7684\u5927\u670d\u52a1\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61832004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4447428031","display_name":null,"funder_award_id":"61872077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G838432653","display_name":null,"funder_award_id":"2017YFB1400800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":162,"referenced_works":["https://openalex.org/W19658682","https://openalex.org/W128985311","https://openalex.org/W192287843","https://openalex.org/W196871588","https://openalex.org/W590635534","https://openalex.org/W771234427","https://openalex.org/W1484418241","https://openalex.org/W1510982829","https://openalex.org/W1560724230","https://openalex.org/W1595210656","https://openalex.org/W1619226191","https://openalex.org/W1927170233","https://openalex.org/W1964042173","https://openalex.org/W1965125844","https://openalex.org/W1970554427","https://openalex.org/W1976706787","https://openalex.org/W1982992776","https://openalex.org/W1984302760","https://openalex.org/W1987371344","https://openalex.org/W1987941704","https://openalex.org/W1989364685","https://openalex.org/W1991086178","https://openalex.org/W1994309289","https://openalex.org/W1995515386","https://openalex.org/W1995824723","https://openalex.org/W1998396170","https://openalex.org/W2005732955","https://openalex.org/W2010824638","https://openalex.org/W2012291788","https://openalex.org/W2012653948","https://openalex.org/W2014360396","https://openalex.org/W2017337590","https://openalex.org/W2017611585","https://openalex.org/W2020247811","https://openalex.org/W2020925091","https://openalex.org/W2024311320","https://openalex.org/W2025014197","https://openalex.org/W2025158524","https://openalex.org/W2025888759","https://openalex.org/W2026355481","https://openalex.org/W2033250675","https://openalex.org/W2034260606","https://openalex.org/W2037559873","https://openalex.org/W2038082462","https://openalex.org/W2039530176","https://openalex.org/W2040884411","https://openalex.org/W2041891835","https://openalex.org/W2043080228","https://openalex.org/W2045220410","https://openalex.org/W2046172123","https://openalex.org/W2047092297","https://openalex.org/W2049639446","https://openalex.org/W2058414375","https://openalex.org/W2063645384","https://openalex.org/W2063978378","https://openalex.org/W2066604793","https://openalex.org/W2068648124","https://openalex.org/W2070945566","https://openalex.org/W2074682976","https://openalex.org/W2074693857","https://openalex.org/W2075490785","https://openalex.org/W2076888649","https://openalex.org/W2077653218","https://openalex.org/W2078864580","https://openalex.org/W2081746825","https://openalex.org/W2082074261","https://openalex.org/W2093291778","https://openalex.org/W2096381344","https://openalex.org/W2096801452","https://openalex.org/W2103215959","https://openalex.org/W2105465844","https://openalex.org/W2106398669","https://openalex.org/W2108198948","https://openalex.org/W2115056756","https://openalex.org/W2116063398","https://openalex.org/W2116294498","https://openalex.org/W2116581043","https://openalex.org/W2120160881","https://openalex.org/W2121737160","https://openalex.org/W2122825543","https://openalex.org/W2124536209","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2138049103","https://openalex.org/W2140514146","https://openalex.org/W2145473366","https://openalex.org/W2146986739","https://openalex.org/W2147534083","https://openalex.org/W2149144946","https://openalex.org/W2149199519","https://openalex.org/W2150579376","https://openalex.org/W2152734820","https://openalex.org/W2153542182","https://openalex.org/W2154972590","https://openalex.org/W2156571267","https://openalex.org/W2158497151","https://openalex.org/W2160915541","https://openalex.org/W2164786997","https://openalex.org/W2169103656","https://openalex.org/W2171837816","https://openalex.org/W2209420799","https://openalex.org/W2284018482","https://openalex.org/W2323665732","https://openalex.org/W2339611261","https://openalex.org/W2514506436","https://openalex.org/W2529138057","https://openalex.org/W2593996946","https://openalex.org/W2594857575","https://openalex.org/W2762381820","https://openalex.org/W2765976734","https://openalex.org/W2770291950","https://openalex.org/W2801496238","https://openalex.org/W2809501963","https://openalex.org/W2888036598","https://openalex.org/W2894461463","https://openalex.org/W2909862814","https://openalex.org/W2915691082","https://openalex.org/W2951870768","https://openalex.org/W2963242773","https://openalex.org/W2963799407","https://openalex.org/W2963825166","https://openalex.org/W2970191091","https://openalex.org/W2978620371","https://openalex.org/W2997644599","https://openalex.org/W3098306969","https://openalex.org/W3099014882","https://openalex.org/W3099503819","https://openalex.org/W3099718522","https://openalex.org/W3102087499","https://openalex.org/W3102650760","https://openalex.org/W3105385395","https://openalex.org/W3121832289","https://openalex.org/W3124546987","https://openalex.org/W3147894994","https://openalex.org/W4211015534","https://openalex.org/W4229873072","https://openalex.org/W4230962939","https://openalex.org/W4240385847","https://openalex.org/W4247571494","https://openalex.org/W4249247926","https://openalex.org/W4252956849","https://openalex.org/W4289236186","https://openalex.org/W4290473204","https://openalex.org/W4294541781","https://openalex.org/W4301861531","https://openalex.org/W6629935912","https://openalex.org/W6636909375","https://openalex.org/W6638493195","https://openalex.org/W6675885011","https://openalex.org/W6676309681","https://openalex.org/W6676361318","https://openalex.org/W6678475398","https://openalex.org/W6678962389","https://openalex.org/W6681667737","https://openalex.org/W6682043057","https://openalex.org/W6682241100","https://openalex.org/W6682904970","https://openalex.org/W6683368909","https://openalex.org/W6684653394","https://openalex.org/W6687205678","https://openalex.org/W6695671001","https://openalex.org/W6746195791"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176"],"abstract_inverted_index":{"Feature":[0],"selection":[1,58,66],"is":[2],"important":[3],"in":[4],"both":[5],"machine":[6],"learning":[7,18,54,81,90],"and":[8,20,39,67,72,76,86],"pattern":[9],"recognition.":[10],"Successfully":[11],"selecting":[12],"informative":[13,31],"features":[14,32,41],"can":[15],"significantly":[16],"increase":[17],"accuracy":[19],"improve":[21,43],"result":[22],"comprehensibility.":[23],"Various":[24],"methods":[25],"have":[26],"been":[27],"proposed":[28],"to":[29,42],"identify":[30],"from":[33,59],"high-dimensional":[34],"data":[35],"by":[36],"removing":[37],"redundant":[38],"irrelevant":[40],"classification":[44],"accuracy.":[45],"In":[46],"this":[47],"article,":[48],"we":[49],"systematically":[50],"survey":[51],"existing":[52],"sparse":[53,64,69,80,89],"models":[55,91],"for":[56],"feature":[57,65,70],"the":[60,74],"perspectives":[61],"of":[62],"individual":[63],"group":[68],"selection,":[71],"analyze":[73],"differences":[75],"connections":[77],"among":[78],"various":[79],"models.":[82],"Promising":[83],"research":[84],"directions":[85],"topics":[87],"on":[88],"are":[92],"analyzed.":[93]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":11}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}