{"id":"https://openalex.org/W2132544738","doi":"https://doi.org/10.1109/icmlc.2012.6358949","title":"A weighted voting method using minimum square error based on Extreme Learning Machine","display_name":"A weighted voting method using minimum square error based on Extreme Learning Machine","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2132544738","doi":"https://doi.org/10.1109/icmlc.2012.6358949","mag":"2132544738"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2012.6358949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","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/A5038197685","display_name":"Jingjing Cao","orcid":"https://orcid.org/0000-0002-1239-2203"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jing-Jing Cao","raw_affiliation_strings":["Department of computer science, City University of Hong Kong, Hong Kong, China","Department of computer science, The City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of computer science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of computer science, The City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of computer science, City University of Hong Kong, Hong Kong, China","Department of computer science, The City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of computer science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of computer science, The City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377922","display_name":"Ran Wang","orcid":"https://orcid.org/0000-0002-2586-5604"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ran Wang","raw_affiliation_strings":["Department of computer science, City University of Hong Kong, Hong Kong, China","Department of computer science, The City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of computer science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of computer science, The City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343450","display_name":"Ke Li","orcid":"https://orcid.org/0000-0001-7200-4244"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["Department of computer science, City University of Hong Kong, Hong Kong, China","Department of computer science, The City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of computer science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of computer science, The City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038197685"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.4421,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.74147188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"411","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9832000136375427,"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":0.9786999821662903,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.9027142524719238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196040153503418},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.6513466238975525},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5890315771102905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5850416421890259},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5784512162208557},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5543227195739746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.498183012008667},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.46212172508239746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4523707926273346},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.44239911437034607},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42242830991744995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3927525281906128},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34820693731307983},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.269964337348938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2039467692375183},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1419578492641449}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.9027142524719238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196040153503418},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.6513466238975525},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5890315771102905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5850416421890259},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5784512162208557},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5543227195739746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.498183012008667},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46212172508239746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4523707926273346},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.44239911437034607},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42242830991744995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3927525281906128},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34820693731307983},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.269964337348938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2039467692375183},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1419578492641449},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icmlc.2012.6358949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.722.2729","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.722.2729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cityu.edu.hk/%7E51888309/publications/ICMLC12Cao.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1604591429","https://openalex.org/W2069315453","https://openalex.org/W2105613465","https://openalex.org/W2106030336","https://openalex.org/W2110840966","https://openalex.org/W2111072639","https://openalex.org/W2133126147","https://openalex.org/W2138260443","https://openalex.org/W2141695047","https://openalex.org/W2154568261","https://openalex.org/W2158054309"],"related_works":["https://openalex.org/W2008876309","https://openalex.org/W3121841074","https://openalex.org/W1970869406","https://openalex.org/W2055572829","https://openalex.org/W2903397951","https://openalex.org/W2010932316","https://openalex.org/W1497951756","https://openalex.org/W2069544111","https://openalex.org/W2728608649","https://openalex.org/W3036613766"],"abstract_inverted_index":{"Extreme":[0],"Learning":[1],"Machine":[2],"(ELM)":[3],"has":[4],"become":[5],"popular":[6],"for":[7],"solving":[8],"classification":[9,85],"problem":[10],"due":[11],"to":[12,44,67],"its":[13,25],"fast":[14],"speed.":[15],"However,":[16],"the":[17,69,88,92],"system":[18],"of":[19,37,50,72],"ELM":[20,90,95],"may":[21],"be":[22],"unreliable":[23],"since":[24],"performance":[26,86],"often":[27],"relies":[28],"on":[29],"random":[30],"input":[31],"hidden":[32],"node":[33],"parameters.":[34],"The":[35,75],"techniques":[36],"combining":[38],"multiple":[39,73],"classifiers":[40],"are":[41],"widely":[42],"adopted":[43],"improve":[45],"both":[46],"reliability":[47],"and":[48,91],"accuracy":[49],"a":[51,58],"single":[52],"classifier.":[53],"Thus,":[54],"this":[55],"paper":[56],"presents":[57],"minimum":[59],"square":[60],"error":[61],"(MSE)":[62],"based":[63,94],"weighted":[64],"voting":[65,93],"method":[66],"optimize":[68],"linear":[70],"combination":[71],"ELMs.":[74],"experimental":[76],"results":[77],"over":[78],"ten":[79],"VCI":[80],"data":[81],"sets":[82],"show":[83],"better":[84],"than":[87],"original":[89],"classifiers.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
