{"id":"https://openalex.org/W2125899839","doi":"https://doi.org/10.1109/lsp.2008.2004518","title":"Improved Orthogonal Least-Squares Regression With Tunable Kernels Using a Tree Structure Search Algorithm","display_name":"Improved Orthogonal Least-Squares Regression With Tunable Kernels Using a Tree Structure Search Algorithm","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2125899839","doi":"https://doi.org/10.1109/lsp.2008.2004518","mag":"2125899839"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2008.2004518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2008.2004518","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","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/A5101403750","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0002-7552-3119"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Dept. of Comput. Sci., Central China Normal Univ., Wuhan","Department of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., Central China Normal Univ., Wuhan","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Department of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089239586","display_name":"Lihua Fu","orcid":"https://orcid.org/0000-0002-3722-8880"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Fu","raw_affiliation_strings":["School of Mathematics and Physics, China University of Geoscience, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, China University of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114929531","display_name":"Gaofeng Wang","orcid":"https://orcid.org/0000-0001-8599-7249"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaofeng Wang","raw_affiliation_strings":["Department of Mathematics and Statistics, Wuhan University of China, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Wuhan University of China, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039602194","display_name":"Tingting He","orcid":"https://orcid.org/0000-0002-5677-2718"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting He","raw_affiliation_strings":["Department of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8225,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79669449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"653","last_page":"656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9940000176429749,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9940000176429749,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9873999953269958,"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/generalization","display_name":"Generalization","score":0.6526289582252502},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6149535179138184},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.6103298664093018},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5880128741264343},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5787562727928162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5210082530975342},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5029246211051941},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4653502404689789},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.45488739013671875},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4383585453033447},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4326438307762146},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42748820781707764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38510793447494507},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18740412592887878},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10104769468307495}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6526289582252502},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6149535179138184},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.6103298664093018},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5880128741264343},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5787562727928162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5210082530975342},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5029246211051941},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4653502404689789},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45488739013671875},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4383585453033447},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4326438307762146},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42748820781707764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38510793447494507},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18740412592887878},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10104769468307495},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2008.2004518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2008.2004518","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2011544593","https://openalex.org/W2054905566","https://openalex.org/W2068458829","https://openalex.org/W2090696802","https://openalex.org/W2158176103","https://openalex.org/W2171247088"],"related_works":["https://openalex.org/W1984191672","https://openalex.org/W2167126078","https://openalex.org/W2069932138","https://openalex.org/W2023475031","https://openalex.org/W2075634219","https://openalex.org/W2527896606","https://openalex.org/W1997130844","https://openalex.org/W583826391","https://openalex.org/W4250719734","https://openalex.org/W2003283606"],"abstract_inverted_index":{"<para":[0],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[2],"Orthogonal":[3],"least-squares":[4],"(OLS)":[5],"regression":[6,89],"with":[7,91],"tunable":[8],"kernels":[9],"has":[10],"been":[11],"recently":[12],"introduced,":[13],"in":[14],"which":[15],"a":[16,33,46,86],"greedy":[17],"scheme":[18,81],"is":[19,51,61,82],"utilized":[20],"to":[21],"tune":[22],"the":[23,39,42,71,95],"parameters":[24],"of":[25,41,84],"each":[26,54],"individual":[27],"regressor":[28,55],"term":[29,31],"by":[30,63],"using":[32,70],"global":[34],"search":[35,49],"algorithm.":[36],"To":[37],"improve":[38],"performance":[40],"greedy-scheme-based":[43],"OLS":[44,59],"algorithm,":[45],"tree":[47],"structure":[48],"algorithm":[50,60],"constructed.":[52],"At":[53],"stage,":[56],"this":[57,79],"proposed":[58],"realized":[62],"keeping":[64],"multiple":[65],"best":[66],"regressors":[67],"rather":[68],"than":[69,94],"optimal":[72],"one":[73],"only.":[74],"Numerical":[75],"results":[76],"show":[77],"that":[78],"new":[80],"capable":[83],"producing":[85],"much":[87],"sparser":[88],"model":[90],"better":[92],"generalization":[93],"conventional":[96],"approaches.":[97],"</para>":[98]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
