{"id":"https://openalex.org/W4248459408","doi":"https://doi.org/10.1109/icpr.2004.1334564","title":"Diversity/accuracy and ensemble classifier design","display_name":"Diversity/accuracy and ensemble classifier design","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4248459408","doi":"https://doi.org/10.1109/icpr.2004.1334564"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334564","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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 of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"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/A5001584693","display_name":"T. Windeatt","orcid":null},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"T. Windeatt","raw_affiliation_strings":["CVSSP, Surrey Univ., Guildford, UK","CVSSP, University of Surrey, Guildford, Surrey, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVSSP, Surrey Univ., Guildford, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"CVSSP, University of Surrey, Guildford, Surrey, UK","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001584693"],"corresponding_institution_ids":["https://openalex.org/I28290843"],"apc_list":null,"apc_paid":null,"fwci":0.2205,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53170974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"454","last_page":"457 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T10057","display_name":"Face and Expression Recognition","score":0.9878000020980835,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.8093416094779968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6835774779319763},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6504765748977661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625810444355011},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6035494208335876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.57610023021698},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5151016116142273},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.474748432636261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4194268584251404},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4135923385620117},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3062591552734375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2657662034034729}],"concepts":[{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.8093416094779968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6835774779319763},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6504765748977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625810444355011},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6035494208335876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.57610023021698},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5151016116142273},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.474748432636261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4194268584251404},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4135923385620117},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3062591552734375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2657662034034729}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334564","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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 of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1811942668","https://openalex.org/W1981863521","https://openalex.org/W2041573965","https://openalex.org/W2100805904","https://openalex.org/W2115629999","https://openalex.org/W2135293965","https://openalex.org/W3112020351"],"related_works":["https://openalex.org/W2099182244","https://openalex.org/W1580150424","https://openalex.org/W2325482571","https://openalex.org/W4241032203","https://openalex.org/W2127236386","https://openalex.org/W2294552197","https://openalex.org/W2044488462","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W2169074127"],"abstract_inverted_index":{"For":[0],"an":[1],"ensemble":[2],"of":[3,25,48],"multi-layer":[4],"perceptrons":[5],"(MLP),":[6],"test":[7],"error":[8],"is":[9,39],"shown":[10,40],"in":[11],"this":[12],"paper":[13],"to":[14,35,41,45],"be":[15,42],"well":[16],"correlated":[17],"with":[18,52],"a":[19],"diversity/accuracy":[20],"measure":[21,34],"computed":[22],"between":[23],"pairs":[24],"patterns.":[26],"A":[27],"weighted":[28],"combination":[29],"that":[30],"uses":[31],"the":[32,37,46],"proposed":[33],"set":[36],"weights":[38],"less":[43],"sensitive":[44],"number":[47],"training":[49],"epochs":[50],"compared":[51],"majority":[53],"vote.":[54]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
