{"id":"https://openalex.org/W7169510058","doi":"https://doi.org/10.1007/978-981-92-3394-6_40","title":"Bayesian Variable Selection for Multinomial Logistic Regression in Text Classification","display_name":"Bayesian Variable Selection for Multinomial Logistic Regression in Text Classification","publication_year":2026,"publication_date":"2026-07-17","ids":{"openalex":"https://openalex.org/W7169510058","doi":"https://doi.org/10.1007/978-981-92-3394-6_40"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-92-3394-6_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3394-6_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5004189380","display_name":"Daniel Ayala-Ni\u00f1o","orcid":"https://orcid.org/0000-0002-1032-7037"},"institutions":[{"id":"https://openalex.org/I4210097172","display_name":"Colegio de Postgraduados","ror":"https://ror.org/00qfnf017","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210097172"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Daniel Ayala Ni\u00f1o","raw_affiliation_strings":["Colegio de Postgraduados, Texcoco, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-1032-7037","affiliations":[{"raw_affiliation_string":"Colegio de Postgraduados, Texcoco, Mexico","institution_ids":["https://openalex.org/I4210097172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050780136","display_name":"Manuel Montes-y-G\u00f3mez","orcid":"https://orcid.org/0000-0002-7601-501X"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Manuel Montes-y-G\u00f3mez","raw_affiliation_strings":["National Institute of Astrophysics, Optics and Electronics, Puebla, M\u00e9xico"],"raw_orcid":"https://orcid.org/0000-0002-7601-501X","affiliations":[{"raw_affiliation_string":"National Institute of Astrophysics, Optics and Electronics, Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022355015","display_name":"Gustavo Ram\u00edrez Valverde","orcid":"https://orcid.org/0000-0003-3466-991X"},"institutions":[{"id":"https://openalex.org/I4210097172","display_name":"Colegio de Postgraduados","ror":"https://ror.org/00qfnf017","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210097172"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Gustavo Ram\u00edrez Valverde","raw_affiliation_strings":["Colegio de Postgraduados, Texcoco, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-3466-991X","affiliations":[{"raw_affiliation_string":"Colegio de Postgraduados, Texcoco, Mexico","institution_ids":["https://openalex.org/I4210097172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022867602","display_name":"Farid Garc\u00eda\u2010Lamont","orcid":"https://orcid.org/0000-0002-9739-3802"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Farid Garc\u00eda Lamont","raw_affiliation_strings":["Universidad Aut\u00f3noma del Estado de M\u00e9xico, Texcoco, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-9739-3802","affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma del Estado de M\u00e9xico, Texcoco, Mexico","institution_ids":["https://openalex.org/I179647637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045067715","display_name":"Ciro Velasco\u2010Cruz","orcid":"https://orcid.org/0000-0003-0315-9511"},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ciro Velasco Cruz","raw_affiliation_strings":["New Mexico State University, Las Cruces, USA"],"raw_orcid":"https://orcid.org/0000-0003-0315-9511","affiliations":[{"raw_affiliation_string":"New Mexico State University, Las Cruces, USA","institution_ids":["https://openalex.org/I10052268"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004189380"],"corresponding_institution_ids":["https://openalex.org/I4210097172"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"476","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.6959999799728394},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6922000050544739},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5580000281333923},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5383999943733215},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4844000041484833},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.4336000084877014},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4131999909877777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35040000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267000079154968},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.6959999799728394},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6922000050544739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5776000022888184},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5580000281333923},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5383999943733215},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4131999909877777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.34630000591278076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33980000019073486},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.32499998807907104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3208000063896179},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.3109000027179718},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3043000102043152},{"id":"https://openalex.org/C46704056","wikidata":"https://www.wikidata.org/wiki/Q17086346","display_name":"Multinomial probit","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-92-3394-6_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3394-6_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1964613733","https://openalex.org/W2135046866","https://openalex.org/W2281805729","https://openalex.org/W2800318991","https://openalex.org/W2937423263","https://openalex.org/W2954040150","https://openalex.org/W2963341956","https://openalex.org/W3129990883","https://openalex.org/W4281667098","https://openalex.org/W4286253959","https://openalex.org/W4388320089","https://openalex.org/W4399258420","https://openalex.org/W4400388429"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-19T05:54:51.957546","created_date":"2026-07-18T00:00:00"}