{"id":"https://openalex.org/W2075395984","doi":"https://doi.org/10.1109/isita.2010.5649443","title":"A note on model selection for small sample regression","display_name":"A note on model selection for small sample regression","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2075395984","doi":"https://doi.org/10.1109/isita.2010.5649443","mag":"2075395984"},"language":"en","primary_location":{"id":"doi:10.1109/isita.2010.5649443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isita.2010.5649443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Symposium On Information Theory & Its Applications","raw_type":"proceedings-article"},"type":"preprint","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/A5091336955","display_name":"Masanori Kawakita","orcid":"https://orcid.org/0000-0003-4224-8939"},"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":"Masanori Kawakita","raw_affiliation_strings":["Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka City, Fukuoka 819-0395, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka City, Fukuoka 819-0395, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020257843","display_name":"Yoko Oie","orcid":null},"institutions":[{"id":"https://openalex.org/I1283155146","display_name":"Panasonic (Japan)","ror":"https://ror.org/011tm7n37","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283155146"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoko Oie","raw_affiliation_strings":["Panasonic System Networks Company Limited, Meguro, Tokyo, Japan","Panasonic System Networks, Co. Ltd. Meguro-Ku, Tokyo 153-8687, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Panasonic System Networks Company Limited, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I1283155146"]},{"raw_affiliation_string":"Panasonic System Networks, Co. Ltd. Meguro-Ku, Tokyo 153-8687, Japan","institution_ids":["https://openalex.org/I1283155146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032202638","display_name":"Junrichi Takeuchi","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":"Junrichi Takeuchi","raw_affiliation_strings":["Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka City, Fukuoka 819-0395, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka City, Fukuoka 819-0395, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9936000108718872,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9936000108718872,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T11236","display_name":"Control Systems and Identification","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/selection","display_name":"Selection (genetic algorithm)","score":0.7132822275161743},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7083353400230408},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.648785412311554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5827315449714661},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5298357605934143},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5206931829452515},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5142578482627869},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5085867643356323},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4609767198562622},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4424656927585602},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4386865496635437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38362550735473633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25465521216392517}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7132822275161743},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7083353400230408},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.648785412311554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5827315449714661},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5298357605934143},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5206931829452515},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5142578482627869},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5085867643356323},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4609767198562622},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4424656927585602},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4386865496635437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38362550735473633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25465521216392517},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isita.2010.5649443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isita.2010.5649443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Symposium On Information Theory & Its Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3422034","https://openalex.org/W391578156","https://openalex.org/W1502338185","https://openalex.org/W1591760165","https://openalex.org/W2610857016","https://openalex.org/W6600138757"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W3122602933","https://openalex.org/W2950038056","https://openalex.org/W1544940847","https://openalex.org/W4231271795","https://openalex.org/W2289285490","https://openalex.org/W2221502901","https://openalex.org/W1994522454"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,64,87],"modification":[4,89],"of":[5,25,38,79],"model":[6,51,104],"selection":[7,52,105],"criterion":[8],"Direct":[9],"Eigenvalue":[10],"Estimator":[11],"(DEE)":[12],"for":[13],"small":[14,62],"sample":[15],"regression":[16],"proposed":[17],"by":[18],"Chapelle":[19,44],"et":[20,45],"al.":[21,46],"(2002).":[22],"The":[23],"derivation":[24,78],"DEE":[26,80,100],"requires":[27],"neither":[28],"an":[29,33],"asymptotic":[30],"assumption":[31,34],"nor":[32],"that":[35,49,97],"the":[36,58,77,98,107],"variance":[37],"noise":[39],"is":[40],"known":[41],"in":[42],"advance.":[43],"(2002)":[47],"reported":[48],"their":[50],"procedure":[53],"performed":[54],"well":[55],"even":[56],"when":[57],"data":[59],"number":[60],"was":[61],"but":[63],"little":[65],"worse":[66],"than":[67,106],"ADJ":[68],"(Schuurmans,":[69],"1997)":[70],"on":[71],"experiments.":[72],"We":[73,84],"point":[74],"out,":[75],"however,":[76],"includes":[81],"two":[82],"mistakes.":[83,93],"further":[85],"propose":[86],"slight":[88],"to":[90],"correct":[91],"those":[92],"Our":[94],"experiments":[95],"verify":[96],"modified":[99],"gives":[101],"more":[102],"stable":[103],"original":[108],"DEE.":[109]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}