{"id":"https://openalex.org/W2558459924","doi":"https://doi.org/10.1109/cec.2016.7744260","title":"Large scale continuous EDA using mutual information","display_name":"Large scale continuous EDA using mutual information","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2558459924","doi":"https://doi.org/10.1109/cec.2016.7744260","mag":"2558459924"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.birmingham.ac.uk/en/publications/a9f26af5-ffe8-4722-aec0-f4b9e7451a6e","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090094901","display_name":"Xu Qi","orcid":"https://orcid.org/0000-0002-4665-3782"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Qi Xu","raw_affiliation_strings":["School of Computer Science, University of Birmingham"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Birmingham","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058169699","display_name":"Momodou L. Sanyang","orcid":null},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Momodou L. Sanyang","raw_affiliation_strings":["School of Computer Science, University of Birmingham"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Birmingham","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001135130","display_name":"Ata Kab\u00e1n","orcid":"https://orcid.org/0000-0003-3733-7064"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ata Kaban","raw_affiliation_strings":["School of Computer Science, University of Birmingham"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Birmingham","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090094901"],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":null,"apc_paid":null,"fwci":1.2852,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87450207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3718","last_page":"3725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9979000091552734,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9979000091552734,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.993399977684021,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/estimator","display_name":"Estimator","score":0.625457763671875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5181273818016052},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.468091756105423},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43319475650787354},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.42457205057144165},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4240367114543915},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4145703613758087},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4143729507923126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38973525166511536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3273446559906006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26680928468704224},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2410546839237213}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.625457763671875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5181273818016052},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.468091756105423},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43319475650787354},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.42457205057144165},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4240367114543915},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4145703613758087},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4143729507923126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38973525166511536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3273446559906006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26680928468704224},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2410546839237213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec.2016.7744260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:Publications/a9f26af5-ffe8-4722-aec0-f4b9e7451a6e","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/a9f26af5-ffe8-4722-aec0-f4b9e7451a6e","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/a9f26af5-ffe8-4722-aec0-f4b9e7451a6e","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Xu, Q, Sanyang, M & Kaban, A 2016, Large scale continuous EDA using mutual information. in Proceedings of the IEEE Congress on Evolutionary Computation., 16598, Institute of Electrical and Electronics Engineers (IEEE), IEEE Congress on Evolutionary Computation 2016, Canada, 25/07/16. https://doi.org/10.1109/CEC.2016.7744260","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/a9f26af5-ffe8-4722-aec0-f4b9e7451a6e","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/a9f26af5-ffe8-4722-aec0-f4b9e7451a6e","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Xu, Q, Sanyang, M & Kaban, A 2016, Large scale continuous EDA using mutual information. in Proceedings of the IEEE Congress on Evolutionary Computation., 16598, Institute of Electrical and Electronics Engineers (IEEE), IEEE Congress on Evolutionary Computation 2016, Canada, 25/07/16. https://doi.org/10.1109/CEC.2016.7744260","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320339","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W140421493","https://openalex.org/W1534948419","https://openalex.org/W1540706608","https://openalex.org/W1588861010","https://openalex.org/W1595852809","https://openalex.org/W1829558465","https://openalex.org/W2047179459","https://openalex.org/W2069816717","https://openalex.org/W2099111195","https://openalex.org/W2125899728","https://openalex.org/W2127234432","https://openalex.org/W2132181343","https://openalex.org/W2210387432","https://openalex.org/W2269421492","https://openalex.org/W2271227152","https://openalex.org/W2414365832","https://openalex.org/W2505801754","https://openalex.org/W2952524952","https://openalex.org/W6605698943","https://openalex.org/W6635409107","https://openalex.org/W6638583592","https://openalex.org/W6679381669"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511","https://openalex.org/W1976727107"],"abstract_inverted_index":{"Most":[0],"studies":[1],"of":[2,4,22,44,96],"Estimation":[3],"Distribution":[5],"Algorithms":[6],"(EDA)":[7],"are":[8,145],"restricted":[9],"to":[10,15,19,28,32,55,106,123,187],"low":[11],"dimensional":[12,34],"problems":[13],"due":[14],"EDA":[16,31],"being":[17],"susceptible":[18],"the":[20,42,45,57,62,74,83,110,125,130,143,170],"curse":[21],"dimensionality.":[23],"Among":[24],"methods":[25],"that":[26,73,161],"try":[27],"scale":[29],"up":[30],"high":[33],"problems,":[35],"EDA-MCC":[36,97,131,167],"was":[37],"recently":[38],"proposed.":[39],"It":[40],"controls":[41],"complexity":[43],"search":[46,63,111,171,191],"distribution":[47,85,172],"by":[48],"thresholding":[49],"correlation":[50,75,150],"estimates":[51,105],"as":[52],"a":[53,93,120,148,178],"means":[54],"approximate":[56],"prominent":[58],"dependency":[59,127],"structure":[60,128],"among":[61],"variables":[64,144],"and":[65,140],"discard":[66],"irrelevant":[67],"detail.":[68],"However,":[69],"it":[70,183],"is":[71,86,118,137,163,173,184],"known":[72],"coefficient":[76],"can":[77,132],"only":[78,141],"determine":[79,107,124],"statistical":[80],"dependence":[81],"when":[82,169],"data":[84],"Gaussian.":[87,174],"In":[88],"this":[89],"paper,":[90],"we":[91],"develop":[92],"new":[94],"variant":[95],"called":[98],"EDA-MCC-MI":[99,162],"which":[100],"uses":[101],"mutual":[102],"information":[103],"(MI)":[104],"dependencies":[108],"between":[109],"variables,":[112],"replacing":[113],"linear":[114],"correlation.":[115],"Our":[116,175],"method":[117],"in":[119,155],"better":[121],"position":[122],"correct":[126],"than":[129,166],"do,":[133],"simply":[134],"because":[135],"MI":[136,180],"zero":[138,149],"if":[139,142],"independent,":[146],"whereas":[147],"does":[151],"not":[152],"imply":[153],"independence":[154],"general.":[156],"Empirical":[157],"comparison":[158],"results":[159],"show":[160],"never":[164],"worse":[165],"even":[168],"implementation":[176],"employs":[177],"nonparametric":[179],"estimator,":[181],"hence":[182],"easily":[185],"extensible":[186],"any":[188],"other,":[189],"non-Gaussian":[190],"distribution.":[192]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}