{"id":"https://openalex.org/W1984419199","doi":"https://doi.org/10.1016/s0031-3203(96)00182-3","title":"Improving classifier performance through repeated sampling","display_name":"Improving classifier performance through repeated sampling","publication_year":1997,"publication_date":"1997-10-01","ids":{"openalex":"https://openalex.org/W1984419199","doi":"https://doi.org/10.1016/s0031-3203(96)00182-3","mag":"1984419199"},"language":"en","primary_location":{"id":"doi:10.1016/s0031-3203(96)00182-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(96)00182-3","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-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/A5101086259","display_name":"Jiangying Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I1283155146","display_name":"Panasonic (Japan)","ror":"https://ror.org/011tm7n37","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283155146"]},{"id":"https://openalex.org/I4210155557","display_name":"Panasonic (China)","ror":"https://ror.org/05sqbw136","country_code":"CN","type":"company","lineage":["https://openalex.org/I1283155146","https://openalex.org/I4210155557"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Jiangying Zhou","raw_affiliation_strings":["Matsushita Informaton Technology Laboratory, Panasonic Technologies, Inc., Two Research Way, Princeton, NJ 08540, U.S.A"],"affiliations":[{"raw_affiliation_string":"Matsushita Informaton Technology Laboratory, Panasonic Technologies, Inc., Two Research Way, Princeton, NJ 08540, U.S.A","institution_ids":["https://openalex.org/I4210155557","https://openalex.org/I1283155146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088217927","display_name":"Daniel Lopresti","orcid":"https://orcid.org/0000-0003-2129-4223"},"institutions":[{"id":"https://openalex.org/I1283155146","display_name":"Panasonic (Japan)","ror":"https://ror.org/011tm7n37","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283155146"]},{"id":"https://openalex.org/I4210155557","display_name":"Panasonic (China)","ror":"https://ror.org/05sqbw136","country_code":"CN","type":"company","lineage":["https://openalex.org/I1283155146","https://openalex.org/I4210155557"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Daniel Lopresti","raw_affiliation_strings":["Matsushita Informaton Technology Laboratory, Panasonic Technologies, Inc., Two Research Way, Princeton, NJ 08540, U.S.A"],"affiliations":[{"raw_affiliation_string":"Matsushita Informaton Technology Laboratory, Panasonic Technologies, Inc., Two Research Way, Princeton, NJ 08540, U.S.A","institution_ids":["https://openalex.org/I4210155557","https://openalex.org/I1283155146"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101086259"],"corresponding_institution_ids":["https://openalex.org/I1283155146","https://openalex.org/I4210155557"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.64551894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":"10","first_page":"1637","last_page":"1650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"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":0.9958000183105469,"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/T10320","display_name":"Neural Networks and Applications","score":0.995199978351593,"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/classifier","display_name":"Classifier (UML)","score":0.806403398513794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6603161096572876},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.6111152172088623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5670653581619263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5485041737556458},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.5304889678955078},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5065921545028687},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.5040625333786011},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4899567663669586},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.47992998361587524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43624556064605713},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4317372143268585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27137649059295654},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.23509860038757324},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08617183566093445}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.806403398513794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6603161096572876},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.6111152172088623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5670653581619263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5485041737556458},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.5304889678955078},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5065921545028687},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.5040625333786011},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4899567663669586},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.47992998361587524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43624556064605713},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4317372143268585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27137649059295654},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.23509860038757324},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08617183566093445},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0031-3203(96)00182-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(96)00182-3","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W26027032","https://openalex.org/W81726017","https://openalex.org/W1564419782","https://openalex.org/W2012022516","https://openalex.org/W2015432638","https://openalex.org/W2040313431","https://openalex.org/W2054804336","https://openalex.org/W2057568625","https://openalex.org/W2069189382","https://openalex.org/W2096995491","https://openalex.org/W2099836476","https://openalex.org/W2117826715","https://openalex.org/W2137693436","https://openalex.org/W2145023731","https://openalex.org/W2147947791","https://openalex.org/W2159498975","https://openalex.org/W2171998374","https://openalex.org/W2333183372","https://openalex.org/W3017143921","https://openalex.org/W6601049059","https://openalex.org/W6603274591","https://openalex.org/W6660591829","https://openalex.org/W6667921040","https://openalex.org/W6674474269","https://openalex.org/W6677721128","https://openalex.org/W6680367529","https://openalex.org/W6683344514","https://openalex.org/W6805859380"],"related_works":["https://openalex.org/W2057359786","https://openalex.org/W1986699031","https://openalex.org/W1969985447","https://openalex.org/W2034570513","https://openalex.org/W92531827","https://openalex.org/W2070368201","https://openalex.org/W1801413419","https://openalex.org/W2377040858","https://openalex.org/W2952251929","https://openalex.org/W2373356595"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"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"}
