{"id":"https://openalex.org/W2128479019","doi":"https://doi.org/10.1109/ijcnn.2004.1380149","title":"An input variable importance definition based on empirical data probability and its use in variable selection","display_name":"An input variable importance definition based on empirical data probability and its use in variable selection","publication_year":2005,"publication_date":"2005-04-05","ids":{"openalex":"https://openalex.org/W2128479019","doi":"https://doi.org/10.1109/ijcnn.2004.1380149","mag":"2128479019"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1380149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-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/A5103118554","display_name":"Vincent Lemaire","orcid":"https://orcid.org/0000-0002-6030-2356"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"V. Lemaire","raw_affiliation_strings":["France Telecom Research and Development, FTR and D/DTL/TIC, Lannion, France","DTL, France Telecom Res. & Dev., Lannion, France"],"affiliations":[{"raw_affiliation_string":"France Telecom Research and Development, FTR and D/DTL/TIC, Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"DTL, France Telecom Res. & Dev., Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087132141","display_name":"Fabrice Cl\u00e9rot","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Clerot","raw_affiliation_strings":["France Telecom Research and Development, FTR and D/DTL/TIC, Lannion, France","DTL, France Telecom Res. & Dev., Lannion, France"],"affiliations":[{"raw_affiliation_string":"France Telecom Research and Development, FTR and D/DTL/TIC, Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"DTL, France Telecom Res. & Dev., Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103118554"],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":0.8775,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81088561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1375","last_page":"1380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9991000294685364,"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/feature-selection","display_name":"Feature selection","score":0.9065836668014526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156256437301636},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6919260025024414},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6181626915931702},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5700545907020569},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5589585900306702},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48421573638916016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4837817847728729},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4761464595794678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4679868221282959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1821398138999939},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07017731666564941}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.9065836668014526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156256437301636},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6919260025024414},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6181626915931702},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5700545907020569},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5589585900306702},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48421573638916016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4837817847728729},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4761464595794678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4679868221282959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1821398138999939},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07017731666564941},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2004.1380149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1980395864","https://openalex.org/W2017337590","https://openalex.org/W2024930187","https://openalex.org/W2040884411","https://openalex.org/W2067057029","https://openalex.org/W2082674974","https://openalex.org/W2119479037","https://openalex.org/W2725080088","https://openalex.org/W4285719527","https://openalex.org/W6739959888"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W2365677836","https://openalex.org/W2531295127","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Variable":[0],"and":[1,58,81],"feature":[2,78],"selection":[3,79],"have":[4],"become":[5],"the":[6,43,66,69,75],"focus":[7],"of":[8,13,22,24,36,45,56,68,85],"much":[9],"research":[10],"in":[11],"areas":[12],"application":[14],"for":[15,42],"which":[16],"datasets":[17],"with":[18,71,82],"tens":[19],"or":[20,61],"hundreds":[21],"thousands":[23],"variables":[25,37],"are":[26],"available.":[27],"We":[28,64],"propose":[29],"a":[30,46,86],"new":[31],"method":[32,50,70],"to":[33,39],"score":[34],"subsets":[35],"according":[38],"their":[40],"usefulness":[41],"performance":[44],"given":[47],"model.":[48],"This":[49],"is":[51],"applicable":[52],"on":[53,59,74],"every":[54],"kind":[55],"model":[57],"classification":[60],"regression":[62],"task.":[63],"assess":[65],"efficiency":[67],"our":[72],"results":[73],"NIPS":[76],"2003":[77],"challenge":[80],"an":[83],"example":[84],"real":[87],"application.":[88]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"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"}