{"id":"https://openalex.org/W4391407517","doi":"https://doi.org/10.1007/978-3-031-53025-8_27","title":"BHO-MA: Bayesian Hyperparameter Optimization with\u00a0Multi-objective Acquisition","display_name":"BHO-MA: Bayesian Hyperparameter Optimization with\u00a0Multi-objective Acquisition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391407517","doi":"https://doi.org/10.1007/978-3-031-53025-8_27"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-53025-8_27","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-53025-8_27","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-031-53025-8_27","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001872667","display_name":"Vedat Dogan","orcid":"https://orcid.org/0000-0002-3807-5425"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Vedat Dogan","raw_affiliation_strings":["Confirm Centre for Smart Manufacturing, School of Computer Science and Information Technology, University College Cork, Cork, Ireland"],"affiliations":[{"raw_affiliation_string":"Confirm Centre for Smart Manufacturing, School of Computer Science and Information Technology, University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038199174","display_name":"Steven Prestwich","orcid":"https://orcid.org/0000-0002-6218-9158"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Steven Prestwich","raw_affiliation_strings":["Insight Centre for Data Analytics, School of Computer Science and Information Technology, University College Cork, Cork, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, School of Computer Science and Information Technology, University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001872667"],"corresponding_institution_ids":["https://openalex.org/I27577105"],"apc_list":null,"apc_paid":null,"fwci":1.5594,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76055379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9984999895095825,"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/T12535","display_name":"Machine Learning and Data Classification","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/hyperparameter","display_name":"Hyperparameter","score":0.8764603137969971},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6089068055152893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5855312347412109},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5289207696914673},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4116200804710388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3247094750404358}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8764603137969971},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6089068055152893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5855312347412109},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5289207696914673},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4116200804710388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3247094750404358}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-53025-8_27","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-53025-8_27","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-53025-8_27","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-53025-8_27","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1550861865","https://openalex.org/W1901616594","https://openalex.org/W2061144551","https://openalex.org/W2126105956","https://openalex.org/W2296059279","https://openalex.org/W2427941034","https://openalex.org/W2726140679","https://openalex.org/W2907502017","https://openalex.org/W2914150517","https://openalex.org/W2918109107","https://openalex.org/W2944367955","https://openalex.org/W2951553065","https://openalex.org/W2967663220","https://openalex.org/W3021613070","https://openalex.org/W3045004532","https://openalex.org/W3101647584","https://openalex.org/W3127180188","https://openalex.org/W3134267336","https://openalex.org/W3146806684","https://openalex.org/W3163842339","https://openalex.org/W3163942116","https://openalex.org/W3174886282","https://openalex.org/W4200074998","https://openalex.org/W4213308398","https://openalex.org/W4309774299","https://openalex.org/W6600617704","https://openalex.org/W6601979399","https://openalex.org/W6675354045","https://openalex.org/W6816978950"],"related_works":["https://openalex.org/W4233965824","https://openalex.org/W2607442583","https://openalex.org/W3199199693","https://openalex.org/W4286970057","https://openalex.org/W2995583237","https://openalex.org/W2967237190","https://openalex.org/W4323366554","https://openalex.org/W3028852288","https://openalex.org/W4221150662","https://openalex.org/W2405673391"],"abstract_inverted_index":{"Good":[0],"hyperparameter":[1,30,62],"values":[2,16],"are":[3],"crucial":[4],"for":[5],"the":[6,43,95,99,109],"performance":[7,100],"of":[8],"machine":[9],"learning":[10],"models.":[11],"In":[12,55],"particular,":[13],"poorly":[14],"chosen":[15],"can":[17],"cause":[18],"under-":[19],"or":[20],"overfitting":[21],"in":[22],"regression":[23,87],"and":[24,39,42,74,86,97],"classification.":[25],"A":[26],"common":[27],"approach":[28],"to":[29],"tuning":[31],"is":[32,37],"grid":[33],"search,":[34],"but":[35],"this":[36,56],"crude":[38],"computationally":[40],"expensive,":[41],"literature":[44,96],"contains":[45],"several":[46,71],"more":[47,66],"efficient":[48],"automatic":[49],"methods":[50],"such":[51],"as":[52],"Bayesian":[53,61],"optimization.":[54],"work,":[57],"we":[58],"develop":[59],"a":[60,76],"optimization":[63],"technique":[64],"with":[65,101],"robust":[67],"performance,":[68],"by":[69],"combining":[70],"acquisition":[72],"functions":[73],"applying":[75],"multi-objective":[77],"approach.":[78],"We":[79,89],"evaluated":[80],"our":[81],"method":[82,111],"using":[83],"both":[84],"classification":[85],"tasks.":[88],"selected":[90],"four":[91],"data":[92],"sets":[93],"from":[94],"compared":[98],"eight":[102],"popular":[103],"methods.":[104],"The":[105],"results":[106,114],"show":[107],"that":[108],"proposed":[110],"achieved":[112],"better":[113],"than":[115],"all":[116],"others.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-06T02:01:19.302388","created_date":"2025-10-10T00:00:00"}
