{"id":"https://openalex.org/W4323647243","doi":"https://doi.org/10.1007/978-3-031-25599-1_23","title":"Hyperparameter Tuning of\u00a0Random Forests Using Radial Basis Function Models","display_name":"Hyperparameter Tuning of\u00a0Random Forests Using Radial Basis Function Models","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323647243","doi":"https://doi.org/10.1007/978-3-031-25599-1_23"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-25599-1_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-25599-1_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5051045082","display_name":"Rommel G. Regis","orcid":"https://orcid.org/0000-0002-3468-5146"},"institutions":[{"id":"https://openalex.org/I51077184","display_name":"Saint Joseph's University","ror":"https://ror.org/05q87sg56","country_code":"US","type":"education","lineage":["https://openalex.org/I51077184"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rommel G. Regis","raw_affiliation_strings":["Saint Joseph\u2019s University, Philadelphia, PA, 19131, USA","Saint Joseph's University, Philadelphia, PA, 19131, USA"],"raw_orcid":"https://orcid.org/0000-0002-3468-5146","affiliations":[{"raw_affiliation_string":"Saint Joseph\u2019s University, Philadelphia, PA, 19131, USA","institution_ids":["https://openalex.org/I51077184"]},{"raw_affiliation_string":"Saint Joseph's University, Philadelphia, PA, 19131, USA","institution_ids":["https://openalex.org/I51077184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051045082"],"corresponding_institution_ids":["https://openalex.org/I51077184"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":6.85,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97011878,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9896000027656555,"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":0.9896000027656555,"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":0.9829291105270386},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7710052132606506},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7377484440803528},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.7085326910018921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6763667464256287},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5852516293525696},{"id":"https://openalex.org/keywords/random-search","display_name":"Random search","score":0.48783376812934875},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.4543033540248871},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4469081461429596},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.43712905049324036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43214061856269836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40789344906806946},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32787299156188965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24002715945243835},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22745272517204285},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10461962223052979}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9829291105270386},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7710052132606506},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7377484440803528},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.7085326910018921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6763667464256287},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5852516293525696},{"id":"https://openalex.org/C126661757","wikidata":"https://www.wikidata.org/wiki/Q4925641","display_name":"Random search","level":2,"score":0.48783376812934875},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.4543033540248871},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4469081461429596},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.43712905049324036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43214061856269836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40789344906806946},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32787299156188965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24002715945243835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22745272517204285},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10461962223052979}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-25599-1_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-25599-1_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W429766147","https://openalex.org/W1510052597","https://openalex.org/W1513618424","https://openalex.org/W1788633279","https://openalex.org/W1840389249","https://openalex.org/W2003839735","https://openalex.org/W2061933243","https://openalex.org/W2157395790","https://openalex.org/W2185914977","https://openalex.org/W2338548332","https://openalex.org/W2487770199","https://openalex.org/W2580087858","https://openalex.org/W2586846315","https://openalex.org/W2609418570","https://openalex.org/W2743733467","https://openalex.org/W2889510677","https://openalex.org/W2911964244","https://openalex.org/W2963798770","https://openalex.org/W2976818350","https://openalex.org/W3102027041","https://openalex.org/W3119191044","https://openalex.org/W3155731460","https://openalex.org/W4388249735","https://openalex.org/W6614895021"],"related_works":["https://openalex.org/W2920302751","https://openalex.org/W3169687406","https://openalex.org/W3103707007","https://openalex.org/W2783694856","https://openalex.org/W1809990924","https://openalex.org/W4287765344","https://openalex.org/W4213015601","https://openalex.org/W4285118123","https://openalex.org/W3034172904","https://openalex.org/W2966761695"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
