{"id":"https://openalex.org/W2589865066","doi":"https://doi.org/10.1109/icci-cc.2016.7862081","title":"Improving pattern classification by nonlinearly combined classifiers","display_name":"Improving pattern classification by nonlinearly combined classifiers","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2589865066","doi":"https://doi.org/10.1109/icci-cc.2016.7862081","mag":"2589865066"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2016.7862081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5076406057","display_name":"Mohammed Falih Hassan","orcid":"https://orcid.org/0000-0002-2995-7442"},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammed Falih Hassan","raw_affiliation_strings":["Electrical and Computer Engineering Department, Western Michigan University, Kalamazoo, Michigan"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Western Michigan University, Kalamazoo, Michigan","institution_ids":["https://openalex.org/I141649380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063932683","display_name":"Ikhlas Abdel\u2010Qader","orcid":null},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ikhlas Abdel-Qader","raw_affiliation_strings":["Electrical and Computer Engineering Department, Western Michigan University, Kalamazoo, Michigan"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Western Michigan University, Kalamazoo, Michigan","institution_ids":["https://openalex.org/I141649380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076406057"],"corresponding_institution_ids":["https://openalex.org/I141649380"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80877721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"489","last_page":"495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9955999851226807,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9955999851226807,"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":0.9800999760627747,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9677000045776367,"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":0.8184695243835449},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6435996890068054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5896722674369812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5890772938728333},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5663373470306396},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.5388095378875732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.511982262134552},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5074228644371033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4345622956752777},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39613503217697144},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33795058727264404},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28030925989151}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8184695243835449},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6435996890068054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5896722674369812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5890772938728333},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5663373470306396},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.5388095378875732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511982262134552},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5074228644371033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4345622956752777},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39613503217697144},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33795058727264404},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28030925989151},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icci-cc.2016.7862081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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":14,"referenced_works":["https://openalex.org/W605727707","https://openalex.org/W1641924864","https://openalex.org/W2029896651","https://openalex.org/W2122558050","https://openalex.org/W2131750622","https://openalex.org/W2158275940","https://openalex.org/W2160767978","https://openalex.org/W2167917621","https://openalex.org/W2168847089","https://openalex.org/W2265431425","https://openalex.org/W4232478844","https://openalex.org/W4248018214","https://openalex.org/W4298376168","https://openalex.org/W6679709651"],"related_works":["https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2407804800","https://openalex.org/W2388864896","https://openalex.org/W2888937984","https://openalex.org/W2043426614","https://openalex.org/W2031173026","https://openalex.org/W2117265009","https://openalex.org/W2031651184","https://openalex.org/W2913388591"],"abstract_inverted_index":{"In":[0,43,66],"order":[1],"to":[2,94,127,149,163,168,175],"improve":[3],"classification":[4,13],"accuracy,":[5],"multiple":[6],"classifier":[7,16,41,98],"systems":[8,17],"have":[9,76],"provided":[10],"better":[11],"pattern":[12],"over":[14],"single":[15,97],"in":[18,25,110,146,203],"different":[19],"applications.":[20],"The":[21,197],"theoretical":[22,49,134,199],"frameworks":[23],"proposed":[24,198],"[5],":[26],"[7]":[27],"present":[28,47],"important":[29],"tools":[30],"for":[31,79,208],"estimating":[32],"and":[33,75,105,119,140],"minimizing":[34],"the":[35,53,67,90,100,107,123,128,131,138,150,157,161,164,169,177,182,189,205],"added":[36,54,151,165,206],"error":[37,55,159,166,179,191,207],"of":[38,92,130,186],"linearly":[39],"combined":[40],"systems.":[42],"this":[44],"work,":[45],"we":[46,69],"a":[48,62,80],"model":[50],"that":[51,87,137,156],"estimates":[52],"using":[56],"geometric":[57,132],"mean":[58],"rule":[59],"which":[60],"is":[61,103,173,192],"nonlinear":[63,210],"combining":[64,212],"rule.":[65],"derivation,":[68],"assume":[70],"classifiers'":[71],"outputs":[72],"are":[73,143],"uncorrelated":[74],"identical":[77],"distributions":[78],"given":[81,109],"class":[82],"case.":[83],"We":[84,112],"also":[85],"show":[86,136],"by":[88,180],"setting":[89],"number":[91],"classifiers":[93],"one":[95],"(a":[96],"system),":[99],"derived":[101],"formula":[102],"modified":[104],"matches":[106],"results":[108,135],"[5].":[111],"validated":[113],"our":[114],"derivations":[115],"with":[116,122],"computer":[117],"simulations":[118],"compared":[120,167],"these":[121],"analytical":[124],"results.":[125],"Due":[126],"nonlinearity":[129],"mean,":[133],"bias":[139,158,190],"variance":[141,170,178],"errors":[142],"mixed":[144],"together":[145],"their":[147],"contribution":[148,162],"error.":[152,171],"It":[153,172],"was":[154],"shown":[155],"dominated":[160],"possible":[174],"minimize":[176],"increasing":[181],"ensemble":[183],"size":[184],"(number":[185],"classifiers)":[187],"while":[188],"minimized":[193],"under":[194],"certain":[195],"conditions.":[196],"work":[200],"can":[201],"help":[202],"investigating":[204],"other":[209],"arithmetic":[211],"rules.":[213]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}