{"id":"https://openalex.org/W3144642486","doi":"https://doi.org/10.1109/ijcnn.2005.1556019","title":"A classifier ensemble model and its applications","display_name":"A classifier ensemble model and its applications","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W3144642486","doi":"https://doi.org/10.1109/ijcnn.2005.1556019","mag":"3144642486"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556019","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/A5062292754","display_name":"Ao Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"ao Dai Zhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110915179","display_name":"S. Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shangming Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5097051613","display_name":"ei i ongli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ei i ongli","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062292754"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43083486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1172","last_page":"1177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9943000078201294,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9868000149726868,"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":0.9866999983787537,"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":0.7200986742973328},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6116918921470642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5396210551261902},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38941070437431335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3767317533493042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200986742973328},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6116918921470642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396210551261902},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38941070437431335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3767317533493042}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556019","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1553155526","https://openalex.org/W1554944419","https://openalex.org/W1982610692","https://openalex.org/W2009466980","https://openalex.org/W2029458478","https://openalex.org/W2070229819","https://openalex.org/W2084812512","https://openalex.org/W2119103742","https://openalex.org/W2132971529","https://openalex.org/W2134631822","https://openalex.org/W2135293965","https://openalex.org/W2146615496","https://openalex.org/W2149746875","https://openalex.org/W2153382583","https://openalex.org/W2153436198","https://openalex.org/W2158275940","https://openalex.org/W2160767978","https://openalex.org/W2164568552","https://openalex.org/W2171033594","https://openalex.org/W2172000360","https://openalex.org/W2799061466","https://openalex.org/W4230946174","https://openalex.org/W4247777826","https://openalex.org/W4285719527","https://openalex.org/W6602798092","https://openalex.org/W6633435507","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3107602296","https://openalex.org/W3209574120","https://openalex.org/W4312192474"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,6,68],"use":[3],"combinative":[4,31,56],"classifiers":[5,40],"effectively":[7],"solve":[8],"the":[9,17,42,55,60,65,79,85,97],"large-scale":[10,23],"learning":[11,24],"problems,":[12],"this":[13],"paper":[14],"focuses":[15],"on":[16],"following":[18],"aspects:":[19],"(A)":[20],"decomposition":[21],"of":[22,28,30,36,38,44,64,81,88],"problems;":[25],"(B)":[26],"selection":[27],"units":[29],"classifiers;":[32],"and":[33,51,76],"(C)":[34],"transformation":[35],"outputs":[37,80],"single":[39,74],"into":[41,84],"grades":[43,87],"memberships.":[45,89],"We":[46],"select":[47],"Gaussian":[48],"kernel,":[49],"10-nearest-neighbor,":[50],"quadratic":[52],"polynomial,":[53],"as":[54],"units,":[57],"only":[58],"let":[59],"most":[61],"relative":[62],"part":[63,70],"original":[66],"datasets":[67],"take":[69],"in":[71],"training":[72],"a":[73],"classifier,":[75],"then":[77],"transform":[78],"each":[82],"classifier":[83],"same":[86],"The":[90],"experiment":[91],"for":[92],"letter":[93],"recognition":[94],"shows":[95],"that":[96],"proposed":[98],"method":[99],"is":[100],"effective.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}