{"id":"https://openalex.org/W1974586862","doi":"https://doi.org/10.1145/2463372.2463503","title":"An analysis of a spatial EA parallel boosting algorithm","display_name":"An analysis of a spatial EA parallel boosting algorithm","publication_year":2013,"publication_date":"2013-07-06","ids":{"openalex":"https://openalex.org/W1974586862","doi":"https://doi.org/10.1145/2463372.2463503","mag":"1974586862"},"language":"en","primary_location":{"id":"doi:10.1145/2463372.2463503","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463372.2463503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076724368","display_name":"Uday Kamath","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Uday Kamath","raw_affiliation_strings":["George Mason University, Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090148962","display_name":"Carlotta Domeniconi","orcid":"https://orcid.org/0000-0003-2140-9596"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlotta Domeniconi","raw_affiliation_strings":["George Mason University, Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111782149","display_name":"Kenneth De Jong","orcid":"https://orcid.org/0000-0002-2799-280X"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth A. De Jong","raw_affiliation_strings":["George Mason University, Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1053","last_page":"1060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9983999729156494,"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/boosting","display_name":"Boosting (machine learning)","score":0.9034478664398193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7974026203155518},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7417434453964233},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6642017364501953},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5907734632492065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5580863952636719},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5157637596130371},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4687243700027466},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.45447880029678345},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.43724098801612854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11712032556533813}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9034478664398193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7974026203155518},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7417434453964233},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6642017364501953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5907734632492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5580863952636719},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5157637596130371},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4687243700027466},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.45447880029678345},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.43724098801612854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11712032556533813},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2463372.2463503","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463372.2463503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th annual conference on Genetic and evolutionary computation","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":42,"referenced_works":["https://openalex.org/W89943160","https://openalex.org/W115329727","https://openalex.org/W180365225","https://openalex.org/W627565722","https://openalex.org/W1504694836","https://openalex.org/W1508638168","https://openalex.org/W1545554494","https://openalex.org/W1547418289","https://openalex.org/W1555576437","https://openalex.org/W1565271188","https://openalex.org/W1692958259","https://openalex.org/W1878904311","https://openalex.org/W1975846642","https://openalex.org/W1997434617","https://openalex.org/W1998565453","https://openalex.org/W2019492310","https://openalex.org/W2032210760","https://openalex.org/W2041823554","https://openalex.org/W2099940443","https://openalex.org/W2100805904","https://openalex.org/W2112076978","https://openalex.org/W2115694019","https://openalex.org/W2117719342","https://openalex.org/W2118585731","https://openalex.org/W2120635959","https://openalex.org/W2120636621","https://openalex.org/W2125055259","https://openalex.org/W2133990480","https://openalex.org/W2136277000","https://openalex.org/W2137515395","https://openalex.org/W2156909104","https://openalex.org/W2201056133","https://openalex.org/W2492794003","https://openalex.org/W3001645704","https://openalex.org/W3086958290","https://openalex.org/W3120740533","https://openalex.org/W4238840109","https://openalex.org/W4244952642","https://openalex.org/W6676769703","https://openalex.org/W6678007500","https://openalex.org/W6678086985","https://openalex.org/W6788247690"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2067869703","https://openalex.org/W2132996594"],"abstract_inverted_index":{"The":[0,97],"scalability":[1,116],"of":[2,15,105,133],"machine":[3,94],"learning":[4,95],"(ML)":[5],"algorithms":[6,44],"has":[7,34],"become":[8],"a":[9,26,30,57,68],"key":[10],"issue":[11,24],"as":[12,111],"the":[13,55,77,93,101],"size":[14],"training":[16],"datasets":[17],"continues":[18],"to":[19,113,123,127],"increase.":[20],"To":[21,50],"address":[22],"this":[23,80],"in":[25,71,103,131],"reasonably":[27],"general":[28],"way,":[29],"parallel":[31],"boosting":[32,48],"algorithm":[33,81,102],"been":[35],"developed":[36],"that":[37,72],"combines":[38],"concepts":[39],"from":[40],"spatially":[41],"structured":[42],"evolutionary":[43],"(SSEAs)":[45],"and":[46,60,82,87,107,120,125],"ML":[47],"techniques.":[49],"get":[51],"more":[52],"insight":[53],"into":[54],"algorithm,":[56],"proper":[58],"theoretical":[59],"empirical":[61,108],"analysis":[62],"is":[63,67],"required.":[64],"This":[65],"paper":[66,98],"first":[69],"step":[70],"direction.":[73],"First,":[74],"it":[75],"establishes":[76],"connection":[78],"between":[79],"well":[83],"known":[84],"density":[85],"estimation":[86],"mixture":[88],"model":[89],"approaches":[90],"used":[91],"by":[92],"community.":[96],"then":[99],"analyzes":[100],"terms":[104,132],"varioustheoretical":[106],"properties":[109],"such":[110],"convergence":[112],"large":[114],"margins,":[115],"effects":[117],"on":[118],"accuracy":[119],"speed,":[121],"robustness":[122],"noise,":[124],"connections":[126],"support":[128],"vector":[129],"machines":[130],"instances":[134],"converged":[135],"to.":[136]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
