{"id":"https://openalex.org/W3183735930","doi":"https://doi.org/10.1109/access.2021.3099473","title":"Sparse Nonnegative Interaction Models","display_name":"Sparse Nonnegative Interaction Models","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183735930","doi":"https://doi.org/10.1109/access.2021.3099473","mag":"3183735930"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3099473","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3099473","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09493878.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09493878.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025412591","display_name":"Mirai Takayanagi","orcid":null},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mirai Takayanagi","raw_affiliation_strings":["Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021642801","display_name":"Yasuo Tabei","orcid":"https://orcid.org/0000-0003-2368-5607"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Tabei","raw_affiliation_strings":["Riken Center for Advanced Intelligence Project, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Riken Center for Advanced Intelligence Project, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049568882","display_name":"Einoshin Suzuki","orcid":"https://orcid.org/0000-0001-7743-6177"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Einoshin Suzuki","raw_affiliation_strings":["Department of Information Science and Technology, Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7743-6177","affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040675658","display_name":"Hiroto Saigo","orcid":"https://orcid.org/0000-0001-5314-5367"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroto Saigo","raw_affiliation_strings":["Department of Information Science and Technology, Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5314-5367","affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06744172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"109994","last_page":"110005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9869999885559082,"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":0.9860000014305115,"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/computer-science","display_name":"Computer science","score":0.5263950824737549},{"id":"https://openalex.org/keywords/subroutine","display_name":"Subroutine","score":0.5253964066505432},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5083653330802917},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4726231098175049},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4669986963272095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38445255160331726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28366124629974365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5263950824737549},{"id":"https://openalex.org/C96147967","wikidata":"https://www.wikidata.org/wiki/Q190686","display_name":"Subroutine","level":2,"score":0.5253964066505432},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5083653330802917},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4726231098175049},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4669986963272095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38445255160331726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28366124629974365},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3099473","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3099473","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09493878.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5edcf9f032194e4eba90096bc571d43f","is_oa":true,"landing_page_url":"https://doaj.org/article/5edcf9f032194e4eba90096bc571d43f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 109994-110005 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3099473","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3099473","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09493878.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3603215556","display_name":"Development of algorithms for manufacture informatics and its evaluation in steel industry","funder_award_id":"19H04176","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G542698616","display_name":null,"funder_award_id":"21H01684","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183735930.pdf","grobid_xml":"https://content.openalex.org/works/W3183735930.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W505143","https://openalex.org/W1483679765","https://openalex.org/W1484413656","https://openalex.org/W1523985187","https://openalex.org/W1902027874","https://openalex.org/W2010399703","https://openalex.org/W2057682568","https://openalex.org/W2063978378","https://openalex.org/W2064853889","https://openalex.org/W2075665712","https://openalex.org/W2080242873","https://openalex.org/W2098098075","https://openalex.org/W2101302040","https://openalex.org/W2134656724","https://openalex.org/W2135046866","https://openalex.org/W2140179827","https://openalex.org/W2150215096","https://openalex.org/W2165685007","https://openalex.org/W2169678694","https://openalex.org/W2200017991","https://openalex.org/W2215622313","https://openalex.org/W2273934194","https://openalex.org/W2367397349","https://openalex.org/W2391136156","https://openalex.org/W2497264409","https://openalex.org/W2792839897","https://openalex.org/W2908328868","https://openalex.org/W2918556752","https://openalex.org/W2962882549","https://openalex.org/W2963809997","https://openalex.org/W2998216295","https://openalex.org/W4237234927","https://openalex.org/W4252403066","https://openalex.org/W4285719527","https://openalex.org/W4297914773","https://openalex.org/W6600021472","https://openalex.org/W6628750762","https://openalex.org/W6628973722","https://openalex.org/W6664862776","https://openalex.org/W6675319365","https://openalex.org/W6723647193","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2391861012","https://openalex.org/W2488336788","https://openalex.org/W4285469493","https://openalex.org/W1593224248","https://openalex.org/W2375766869","https://openalex.org/W2080384954","https://openalex.org/W4382519933","https://openalex.org/W3151465598","https://openalex.org/W2368144149"],"abstract_inverted_index":{"Non-negative":[0],"least":[1,8],"square":[2],"regression":[3],"(NLS)":[4],"is":[5,20,79,118,137],"a":[6,121],"constrained":[7],"squares":[9],"problem":[10],"where":[11,43],"the":[12,44,68,127,169,177,183,194],"coefficients":[13],"are":[14,39,198],"restricted":[15,139],"to":[16,126,193],"be":[17],"non-negative.":[18],"It":[19],"useful":[21,81],"for":[22,41,84],"modeling":[23,85],"non-negative":[24],"responses":[25],"such":[26,112],"as":[27],"time":[28],"measurements,":[29],"count":[30],"data,":[31],"histograms":[32],"and":[33,47,53,124,144,158,189],"so":[34],"on.":[35],"Existing":[36],"NLS":[37,66,92],"solvers":[38],"designed":[40],"cases":[42],"predictor":[45,59],"variables":[46,49],"response":[48],"have":[50],"linear":[51],"relationships,":[52],"do":[54],"not":[55],"consider":[56],"interactions":[57],"among":[58],"variables.":[60,75,179],"In":[61,161,180],"this":[62],"paper,":[63],"we":[64],"solve":[65,91],"in":[67,82,108],"complete":[69],"space":[70,136,171],"of":[71,74,147,168],"power":[72],"sets":[73],"Such":[76],"an":[77,101,109,114],"extension":[78],"particularly":[80],"biology,":[83],"genetic":[86],"associations.":[87],"Our":[88],"new":[89],"algorithms":[90],"problems":[93],"exactly":[94],"while":[95],"decreasing":[96],"computational":[97,162],"burden":[98],"by":[99,120,140],"using":[100,164],"active":[102],"set":[103,129],"method.":[104],"The":[105,132],"algorithm":[106],"proceeds":[107],"iterative":[110],"fashion,":[111],"that":[113],"optimal":[115,178],"interaction":[116],"term":[117],"searched":[119],"branch-and-bound":[122],"subroutine,":[123],"added":[125],"solution":[128],"one":[130],"another.":[131],"resulting":[133],"large":[134],"search":[135,170],"efficiently":[138],"novel":[141],"pruning":[142],"conditions":[143],"two":[145],"kinds":[146],"sparsity":[148],"promoting":[149],"regularization;":[150],"<inline-formula":[151],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[152,202],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[153],"<tex-math":[154],"notation=\"LaTeX\">$l_{1}$":[155],"</tex-math></inline-formula>":[156],"norm":[157],"non-negativity":[159],"constraints.":[160],"experiments":[163],"HIV-1":[165],"datasets,":[166,182],"99%":[167],"was":[172],"safely":[173],"pruned":[174],"without":[175],"losing":[176],"mutagenicity":[181],"proposed":[184],"method":[185],"could":[186],"identify":[187],"long":[188],"accurate":[190],"patterns":[191],"compared":[192],"original":[195],"NLS.":[196],"Codes":[197],"available":[199],"from":[200],"<uri":[201],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/afiveithree/inlars</uri>":[203],".":[204]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}