{"id":"https://openalex.org/W1508863698","doi":"https://doi.org/10.1109/ijcnn.2005.1555828","title":"An information theoretic approach to adaptive system training using unlabeled data","display_name":"An information theoretic approach to adaptive system training using unlabeled data","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1508863698","doi":"https://doi.org/10.1109/ijcnn.2005.1555828","mag":"1508863698"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555828","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5057839094","display_name":"Kyu-Hwa Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kyu-Hwa Jeong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL, USA","Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113456647","display_name":"Jian\u2010Wu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian-Wu Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL, USA","Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019504861","display_name":"Jos\u00e9 C. Pr\u0131\u0301ncipe","orcid":"https://orcid.org/0000-0002-3449-3531"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.C. Principe","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL, USA","Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057839094"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.9119,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70243902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"191","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.993399977684021,"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":0.7200967073440552},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6767367124557495},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6650458574295044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6262670159339905},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.6047728061676025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5909401178359985},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5640729069709778},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5209887623786926},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4683719575405121},{"id":"https://openalex.org/keywords/adaptive-system","display_name":"Adaptive system","score":0.45020973682403564},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3837588131427765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3212888240814209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200967073440552},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6767367124557495},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6650458574295044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6262670159339905},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6047728061676025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5909401178359985},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5640729069709778},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5209887623786926},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4683719575405121},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.45020973682403564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3837588131427765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3212888240814209},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555828","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.2099","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.2099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnel.ufl.edu/files/1126039904.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310009","display_name":"University of Florida","ror":"https://ror.org/02y3ad647"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1601740268","https://openalex.org/W1624804034","https://openalex.org/W1661212201","https://openalex.org/W1968020335","https://openalex.org/W2041429081","https://openalex.org/W2048679005","https://openalex.org/W2097089247","https://openalex.org/W2118020555","https://openalex.org/W2124776405","https://openalex.org/W2153244978","https://openalex.org/W2158966691","https://openalex.org/W2170117446","https://openalex.org/W2399703712","https://openalex.org/W2895674046","https://openalex.org/W2964057329","https://openalex.org/W6636830390","https://openalex.org/W6781870204"],"related_works":["https://openalex.org/W4385484789","https://openalex.org/W34092691","https://openalex.org/W1977678056","https://openalex.org/W2365028544","https://openalex.org/W4309984931","https://openalex.org/W4282977123","https://openalex.org/W2949671220","https://openalex.org/W2168489430","https://openalex.org/W121244246","https://openalex.org/W4312390859"],"abstract_inverted_index":{"Traditionally,":[0],"supervised":[1],"learning":[2,43],"is":[3,23],"performed":[4],"with":[5,25],"pairwise":[6],"input-output":[7],"labelled":[8],"data.":[9,27],"After":[10],"the":[11,14,21,30,41,81,87],"training":[12,63],"procedure,":[13],"adaptive":[15,84],"system":[16,22,85],"weights":[17],"are":[18],"fixed":[19],"and":[20],"tested":[24],"unlabelled":[26],"Recently,":[28],"exploiting":[29],"unlabeled":[31,66],"data":[32,67],"to":[33,59],"improve":[34,80],"classification":[35,73],"performance":[36,82],"has":[37],"been":[38],"proposed":[39],"in":[40,86],"machine":[42],"community.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"present":[49],"an":[50,61],"information":[51],"theoretic":[52],"approach":[53],"based":[54],"on":[55],"density":[56],"divergence":[57],"minimization":[58],"obtain":[60],"extended":[62],"algorithm":[64],"using":[65],"during":[68],"testing.":[69],"The":[70],"simulations":[71],"for":[72],"problems":[74],"suggest":[75],"that":[76],"our":[77],"method":[78],"can":[79],"of":[83],"application":[88],"phase.":[89]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
