{"id":"https://openalex.org/W2566287370","doi":"https://doi.org/10.1080/00401706.2016.1273138","title":"A Coordinate-Descent-Based Approach to Solving the Sparse Group Elastic Net","display_name":"A Coordinate-Descent-Based Approach to Solving the Sparse Group Elastic Net","publication_year":2016,"publication_date":"2016-12-20","ids":{"openalex":"https://openalex.org/W2566287370","doi":"https://doi.org/10.1080/00401706.2016.1273138","mag":"2566287370"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2016.1273138","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2016.1273138","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/A_Coordinate_Descent_Based_Approach_to_Solving_the_Sparse_Group_Elastic_Net/4484036","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062263388","display_name":"Daniel V. Samarov","orcid":null},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210126846","display_name":"Information Technology Laboratory","ror":"https://ror.org/0440c3437","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210126846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel V. Samarov","raw_affiliation_strings":["Statistical Engineering Division, Information Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD"],"affiliations":[{"raw_affiliation_string":"Statistical Engineering Division, Information Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210126846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000726","display_name":"David W. Allen","orcid":"https://orcid.org/0000-0001-8299-7956"},"institutions":[{"id":"https://openalex.org/I4210109969","display_name":"Physical Measurement Laboratory","ror":"https://ror.org/016s8vs02","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210109969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Allen","raw_affiliation_strings":["Sensor Science Division, Physical Measurements Laboratory (PML), NIST, Gaithersburg, MD"],"affiliations":[{"raw_affiliation_string":"Sensor Science Division, Physical Measurements Laboratory (PML), NIST, Gaithersburg, MD","institution_ids":["https://openalex.org/I4210109969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091650489","display_name":"Jeeseong Hwang","orcid":"https://orcid.org/0000-0002-9801-8529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeeseong Hwang","raw_affiliation_strings":["Radiation and Biomolecular Physics Division, PML, NIST, Boulder, CO"],"affiliations":[{"raw_affiliation_string":"Radiation and Biomolecular Physics Division, PML, NIST, Boulder, CO","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082690449","display_name":"Young Jong Lee","orcid":"https://orcid.org/0000-0001-7754-3001"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210147263","display_name":"Material Measurement Laboratory","ror":"https://ror.org/04a0y3b96","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210147263"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Young Jong Lee","raw_affiliation_strings":["Biosystems and Biomaterials Division, Biomaterials Group, Material Measurements Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD"],"affiliations":[{"raw_affiliation_string":"Biosystems and Biomaterials Division, Biomaterials Group, Material Measurements Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD","institution_ids":["https://openalex.org/I4210147263","https://openalex.org/I1321296531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052070403","display_name":"Maritoni Litorja","orcid":"https://orcid.org/0000-0003-1233-2179"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maritoni Litorja","raw_affiliation_strings":["Science Division, PML, National Institute of Standards and Technology (NIST), Gaithersburg, MD"],"affiliations":[{"raw_affiliation_string":"Science Division, PML, National Institute of Standards and Technology (NIST), Gaithersburg, MD","institution_ids":["https://openalex.org/I1321296531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062263388"],"corresponding_institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210126846"],"apc_list":null,"apc_paid":null,"fwci":0.9119,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75450695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"59","issue":"4","first_page":"437","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955000281333923,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.9479563236236572},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.8516808748245239},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6118728518486023},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5767883062362671},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5748917460441589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.558148980140686},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.491522878408432},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.460989773273468},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.447429895401001},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42013880610466003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3837071657180786},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35060638189315796},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.322518914937973},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2700880765914917},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.13371750712394714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12742957472801208}],"concepts":[{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.9479563236236572},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.8516808748245239},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6118728518486023},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5767883062362671},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5748917460441589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.558148980140686},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.491522878408432},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.460989773273468},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.447429895401001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42013880610466003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3837071657180786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35060638189315796},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.322518914937973},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2700880765914917},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.13371750712394714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12742957472801208},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/00401706.2016.1273138","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2016.1273138","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/4484036","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Coordinate_Descent_Based_Approach_to_Solving_the_Sparse_Group_Elastic_Net/4484036","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.4484036.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.4484036.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/4484036","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Coordinate_Descent_Based_Approach_to_Solving_the_Sparse_Group_Elastic_Net/4484036","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1540764732","https://openalex.org/W1964225468","https://openalex.org/W1964570608","https://openalex.org/W1975900269","https://openalex.org/W1987371344","https://openalex.org/W2005818237","https://openalex.org/W2013525505","https://openalex.org/W2020925091","https://openalex.org/W2027717478","https://openalex.org/W2056636001","https://openalex.org/W2075943324","https://openalex.org/W2113328646","https://openalex.org/W2117176777","https://openalex.org/W2122825543","https://openalex.org/W2125298866","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2138228305","https://openalex.org/W2168175751","https://openalex.org/W2259472751","https://openalex.org/W2798766386","https://openalex.org/W3098745759","https://openalex.org/W3122463936","https://openalex.org/W3149757635","https://openalex.org/W4254313632"],"related_works":["https://openalex.org/W2468272465","https://openalex.org/W2429564919","https://openalex.org/W757986597","https://openalex.org/W4212910148","https://openalex.org/W4210804200","https://openalex.org/W4213314600","https://openalex.org/W4285814086","https://openalex.org/W3123944750","https://openalex.org/W2787225985","https://openalex.org/W3155171010"],"abstract_inverted_index":{"Group":[0],"sparse":[1,57,69],"approaches":[2],"to":[3,32,111],"regression":[4,51],"modeling":[5],"are":[6,134],"finding":[7],"ever":[8],"increasing":[9],"utility":[10],"in":[11,29,45,52,91,117,123],"an":[12,76],"array":[13],"of":[14,48,55,94,120,126],"application":[15],"areas.":[16],"While":[17],"group":[18,58,70,86],"sparsity":[19,87],"can":[20],"help":[21],"assess":[22],"certain":[23],"data":[24],"structures,":[25],"it":[26],"is":[27,88],"desirable":[28],"many":[30],"instances":[31],"also":[33],"capture":[34],"element-wise":[35],"sparsity.":[36],"Recent":[37],"work":[38],"exploring":[39],"the":[40,46,53,56,68,82,92,99,112,118,124],"latter":[41],"has":[42],"been":[43],"conducted":[44],"context":[47,119],"l2/l1":[49],"penalized":[50],"form":[54],"lasso":[59],"(SGL).":[60],"Here,":[61],"we":[62],"present":[63],"a":[64,103],"novel":[65],"model,":[66],"called":[67],"elastic":[71],"net":[72],"(SGEN),":[73],"which":[74,84],"uses":[75],"l\u221e/l1/ridge-based":[77],"penalty.":[78],"We":[79,97],"show":[80],"that":[81],"l\u221e-norm,":[83],"induces":[85],"particularly":[89],"effective":[90],"presence":[93,125],"noisy":[95,127],"data.":[96],"solve":[98],"SGEN":[100],"model":[101],"using":[102],"coordinate":[104],"descent-based":[105],"procedure":[106],"and":[107,114],"compare":[108],"its":[109],"performance":[110],"SGL":[113],"related":[115],"methods":[116],"hyperspectral":[121],"imaging":[122],"observations.":[128],"Supplementary":[129],"materials":[130],"for":[131],"this":[132],"article":[133],"available":[135],"online.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}