{"id":"https://openalex.org/W4286305977","doi":"https://doi.org/10.23919/ascc56756.2022.9828065","title":"A Novel Feature Selection Method Based on Ambiguity Distribution","display_name":"A Novel Feature Selection Method Based on Ambiguity Distribution","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4286305977","doi":"https://doi.org/10.23919/ascc56756.2022.9828065"},"language":"en","primary_location":{"id":"doi:10.23919/ascc56756.2022.9828065","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828065","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","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/A5100318418","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-2781-4402"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024649502","display_name":"Deqiang Han","orcid":"https://orcid.org/0000-0001-5603-796X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqiang Han","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101532634","display_name":"Xiaojing Fan","orcid":"https://orcid.org/0000-0001-6989-7408"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojing Fan","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073440850","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-3430-557X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Xi’an Jiaotong University,School of Aerospace,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Aerospace,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05430539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1462","last_page":"1467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9891999959945679,"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/ambiguity","display_name":"Ambiguity","score":0.6745542287826538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6583068370819092},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6089252233505249},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5362147092819214},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4892234802246094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44599369168281555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38140565156936646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3218730688095093}],"concepts":[{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6745542287826538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6583068370819092},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6089252233505249},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5362147092819214},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4892234802246094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44599369168281555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38140565156936646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3218730688095093},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ascc56756.2022.9828065","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828065","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","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":20,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2132549764","https://openalex.org/W2132904553","https://openalex.org/W2149772057","https://openalex.org/W2154053567","https://openalex.org/W2263270445","https://openalex.org/W2335437633","https://openalex.org/W2343420905","https://openalex.org/W2390171013","https://openalex.org/W2406470551","https://openalex.org/W2963698657","https://openalex.org/W2998216295","https://openalex.org/W3010884728","https://openalex.org/W3124891265","https://openalex.org/W3195285466","https://openalex.org/W4298289240","https://openalex.org/W4301347335","https://openalex.org/W6634094483","https://openalex.org/W6637568146","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Feature":[0],"selection":[1,77],"is":[2,20,34,64,83,115],"one":[3],"of":[4,14,23,29,42,91,102,123],"the":[5,12,21,24,40,47,55,87,92,121],"key":[6],"processes":[7],"in":[8,69],"pattern":[9,103,124],"classification.":[10,125],"For":[11],"task":[13],"feature":[15,31,71,76,98],"selection,":[16],"an":[17],"important":[18],"problem":[19],"evaluation":[22],"classification":[25,104],"capability":[26],"or":[27],"clarity":[28],"different":[30],"spaces,":[32],"which":[33,85],"related":[35],"to":[36,66],"their":[37],"uncertainty.":[38,56],"In":[39,57],"framework":[41],"Dempster-Shafer":[43],"evidence":[44],"theory":[45],"(DST),":[46],"Basic":[48],"Belief":[49],"Assignment":[50],"(BBA)":[51],"can":[52,118],"well":[53],"describe":[54],"this":[58],"paper,":[59],"Generative":[60],"Adversarial":[61],"Network":[62],"(GAN)":[63],"used":[65],"generate":[67],"BBAs":[68],"each":[70,97],"space,":[72],"and":[73,89,117],"a":[74],"novel":[75],"approach":[78],"based":[79],"on":[80,96,105],"ambiguity":[81,94],"distribution":[82],"proposed,":[84],"uses":[86],"skewness":[88],"variance":[90],"BBAs\u2019":[93],"values":[95],"space.":[99],"Experimental":[100],"results":[101],"various":[106],"UCI":[107],"datasets":[108],"show":[109],"that":[110],"our":[111],"new":[112],"proposed":[113],"method":[114],"rational":[116],"effectively":[119],"improve":[120],"accuracy":[122]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}