{"id":"https://openalex.org/W2128374258","doi":"https://doi.org/10.1109/icdar.1995.598940","title":"A theory of classifier combination: the neural network approach","display_name":"A theory of classifier combination: the neural network approach","publication_year":2002,"publication_date":"2002-11-19","ids":{"openalex":"https://openalex.org/W2128374258","doi":"https://doi.org/10.1109/icdar.1995.598940","mag":"2128374258"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.1995.598940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5023392405","display_name":"Dar-Shyang Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"funder","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Dar-Shyang Lee","raw_affiliation_strings":["Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA#TAB#","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102711181","display_name":"Sargur N. Srihari","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"funder","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.N. Srihari","raw_affiliation_strings":["Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA#TAB#","institution_ids":["https://openalex.org/I63190737"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.779,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":77,"citation_normalized_percentile":{"value":0.984571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"42","last_page":"45"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9128,"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":0.9128,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.68593323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.637115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5614384},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.541505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38354254},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34205174}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.1995.598940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":5,"referenced_works":["https://openalex.org/W134865995","https://openalex.org/W1580495158","https://openalex.org/W169539560","https://openalex.org/W2096764219","https://openalex.org/W2156297475"],"related_works":["https://openalex.org/W4214932115","https://openalex.org/W3043252291","https://openalex.org/W2961085424","https://openalex.org/W2807311372","https://openalex.org/W2623427976","https://openalex.org/W2563096758","https://openalex.org/W2549006548","https://openalex.org/W2379065761","https://openalex.org/W2001652754","https://openalex.org/W1629725936"],"abstract_inverted_index":{"The":[0],"paper":[1],"examines":[2],"the":[3,12,44],"general":[4],"classifier":[5,13,28,31],"combination":[6,56],"problem":[7],"under":[8],"strict":[9],"separation":[10],"of":[11,43],"and":[14,26,36,46],"combinator":[15,19],"design.":[16],"Several":[17],"desirable":[18],"properties":[20],"are":[21],"identified:":[22],"omnitype":[23],"mixed":[24],"type":[25],"correlated":[27],"combination,":[29],"redundant":[30],"elimination,":[32],"model":[33,57],"complexity":[34],"control,":[35],"dynamic":[37],"selection":[38],"combination.":[39],"By":[40],"adapting":[41],"some":[42],"theories":[45],"algorithms":[47],"developed":[48],"for":[49],"neural":[50],"network":[51],"learning.":[52],"They":[53],"present":[54],"a":[55,60],"which":[58],"provides":[59],"solution":[61],"to":[62],"these":[63,71],"problems.":[64],"Experimental":[65],"results":[66],"on":[67],"handwritten":[68],"digits":[69],"verify":[70],"findings.":[72]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2128374258","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-04-23T10:02:44.004681","created_date":"2016-06-24"}