{"id":"https://openalex.org/W1988059801","doi":"https://doi.org/10.1142/s1469026806002064","title":"AN INCREMENTAL APPROACH TO MSE-BASED FEATURE SELECTION","display_name":"AN INCREMENTAL APPROACH TO MSE-BASED FEATURE SELECTION","publication_year":2006,"publication_date":"2006-12-01","ids":{"openalex":"https://openalex.org/W1988059801","doi":"https://doi.org/10.1142/s1469026806002064","mag":"1988059801"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026806002064","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026806002064","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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/A5113534973","display_name":"Sheng-Uei Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"SHENG-UEI GUAN","raw_affiliation_strings":["School of Engineering and Design, Brunel University, UK","[School of Engineering and Design Brunel University, UK]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Design, Brunel University, UK","institution_ids":["https://openalex.org/I59433898"]},{"raw_affiliation_string":"[School of Engineering and Design Brunel University, UK]","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100859488","display_name":"Yinan Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"YINAN QI","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030920514","display_name":"Chunyu Bao","orcid":"https://orcid.org/0000-0002-2191-5192"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"CHUNYU BAO","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08833329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"06","issue":"04","first_page":"451","last_page":"471"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9993000030517578,"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":0.9977999925613403,"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":0.8124158382415771},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7320347428321838},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7054315805435181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7012841105461121},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.597586989402771},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5835800170898438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5661708116531372},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5636754035949707},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.554327666759491},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4554029703140259},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40279099345207214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10570886731147766},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07916602492332458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8124158382415771},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7320347428321838},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7054315805435181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7012841105461121},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.597586989402771},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5835800170898438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5661708116531372},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5636754035949707},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.554327666759491},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4554029703140259},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40279099345207214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10570886731147766},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07916602492332458}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1469026806002064","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026806002064","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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":24,"referenced_works":["https://openalex.org/W174066474","https://openalex.org/W190437827","https://openalex.org/W1507480455","https://openalex.org/W1594031697","https://openalex.org/W1619226191","https://openalex.org/W2017337590","https://openalex.org/W2046789063","https://openalex.org/W2083124376","https://openalex.org/W2087327261","https://openalex.org/W2087347434","https://openalex.org/W2098515060","https://openalex.org/W2119821739","https://openalex.org/W2121122425","https://openalex.org/W2123060977","https://openalex.org/W2125055259","https://openalex.org/W2129977294","https://openalex.org/W2131595827","https://openalex.org/W2133396101","https://openalex.org/W2133462743","https://openalex.org/W2135458935","https://openalex.org/W2141573529","https://openalex.org/W2143908786","https://openalex.org/W2151512984","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W4367365565","https://openalex.org/W2128396103","https://openalex.org/W2810569973","https://openalex.org/W2143460795"],"abstract_inverted_index":{"Feature":[0],"selection":[1,18,97,120,132],"plays":[2],"an":[3,31],"important":[4],"role":[5],"in":[6,104],"classification":[7,149],"systems.":[8],"Using":[9],"classifier":[10,27,48,85],"error":[11,73,86],"rate":[12,87],"as":[13],"the":[14,52,100],"evaluation":[15],"function,":[16],"feature":[17,76,96,119,131],"is":[19,28],"integrated":[20],"with":[21,30,69,129],"incremental":[22,32],"training.":[23],"A":[24],"neural":[25],"network":[26],"implemented":[29],"training":[33,153],"approach":[34],"to":[35,58,91],"detect":[36],"and":[37,64,151],"discard":[38,92],"irrelevant":[39,93],"features.":[40,94],"By":[41],"learning":[42],"attributes":[43,53,61],"one":[44],"after":[45],"another,":[46],"our":[47,118],"can":[49],"find":[50],"directly":[51],"that":[54,117],"make":[55],"no":[56],"contribution":[57],"classification.":[59],"These":[60,95],"are":[62,137],"marked":[63],"considered":[65],"for":[66],"removal.":[67],"Incorporated":[68],"a":[70,107,141],"minimum":[71],"squared":[72],"(MSE)":[74],"based":[75,83],"ranking":[77],"scheme,":[78],"four":[79],"batch":[80],"removal":[81],"methods":[82,98,121],"on":[84,124],"have":[88],"been":[89],"developed":[90],"reduce":[99],"computational":[101],"complexity":[102],"involved":[103],"searching":[105],"among":[106],"large":[108],"number":[109],"of":[110],"possible":[111],"solutions":[112],"significantly.":[113],"Experimental":[114],"results":[115],"show":[116],"work":[122],"well":[123],"several":[125],"benchmark":[126],"problems":[127],"compared":[128],"other":[130],"methods.":[133],"The":[134],"selected":[135],"subsets":[136],"further":[138],"validated":[139],"by":[140],"constructive":[142],"backpropagation":[143],"(CBP)":[144],"classifier,":[145],"which":[146],"confirms":[147],"increased":[148],"accuracy":[150],"reduced":[152],"cost.":[154]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}