{"id":"https://openalex.org/W1588576008","doi":"https://doi.org/10.1007/3-540-44668-0_19","title":"Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information","display_name":"Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W1588576008","doi":"https://doi.org/10.1007/3-540-44668-0_19","mag":"1588576008"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-44668-0_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44668-0_19","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":"book-chapter","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/A5081487317","display_name":"Yoshifusa Ito","orcid":null},"institutions":[{"id":"https://openalex.org/I195444995","display_name":"Aichi Gakuin University","ror":"https://ror.org/01rwx7470","country_code":"JP","type":"education","lineage":["https://openalex.org/I195444995"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshifusa Ito","raw_affiliation_strings":["Department of information and policy studies, Aich-Gakuin University, Iwasaki, Nisshin-shi, Aichi-ken, 470-0195, Japan","Aich-Gakuin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of information and policy studies, Aich-Gakuin University, Iwasaki, Nisshin-shi, Aichi-ken, 470-0195, Japan","institution_ids":["https://openalex.org/I195444995"]},{"raw_affiliation_string":"Aich-Gakuin University","institution_ids":["https://openalex.org/I195444995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061429558","display_name":"Cidambi Srinivasan","orcid":"https://orcid.org/0000-0002-0841-8351"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cidambi Srinivasan","raw_affiliation_strings":["Department of statistics, Patterson Office Tower, University of Kentucky, Lexington, Kentucky, 40506, USA","#N##TAB##TAB##TAB##TAB# Univ. of Kentucky#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of statistics, Patterson Office Tower, University of Kentucky, Lexington, Kentucky, 40506, USA","institution_ids":["https://openalex.org/I143302722"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Univ. of Kentucky#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2924,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57671065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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":0.9984999895095825,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9706000089645386,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.7295158505439758},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6339628100395203},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6091518402099609},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.595935583114624},{"id":"https://openalex.org/keywords/discriminant-function-analysis","display_name":"Discriminant function analysis","score":0.5883857011795044},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.5806086659431458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.571845293045044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5665445923805237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5441488027572632},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5393260717391968},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5003125667572021},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.43055835366249084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.376049667596817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28751301765441895}],"concepts":[{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.7295158505439758},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6339628100395203},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6091518402099609},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.595935583114624},{"id":"https://openalex.org/C41771347","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Discriminant function analysis","level":2,"score":0.5883857011795044},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.5806086659431458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.571845293045044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665445923805237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5441488027572632},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5393260717391968},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5003125667572021},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.43055835366249084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.376049667596817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28751301765441895},{"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-44668-0_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44668-0_19","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W192975702","https://openalex.org/W1980501707","https://openalex.org/W2019420194","https://openalex.org/W2054804336","https://openalex.org/W2093123393","https://openalex.org/W2135576125","https://openalex.org/W2141278204","https://openalex.org/W2176028050","https://openalex.org/W3017143921","https://openalex.org/W3022436500","https://openalex.org/W4239726656"],"related_works":["https://openalex.org/W4238888834","https://openalex.org/W2075660794","https://openalex.org/W2544441948","https://openalex.org/W1534459252","https://openalex.org/W4211127546","https://openalex.org/W1964346966","https://openalex.org/W1578884036","https://openalex.org/W2025089370","https://openalex.org/W2065762487","https://openalex.org/W2162393942"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
