{"id":"https://openalex.org/W2907000422","doi":"https://doi.org/10.1109/icsai.2018.8599461","title":"Radial Basis Function Kernel Parameter Optimization Algorithm in Support Vector Machine Based on Segmented Dichotomy","display_name":"Radial Basis Function Kernel Parameter Optimization Algorithm in Support Vector Machine Based on Segmented Dichotomy","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2907000422","doi":"https://doi.org/10.1109/icsai.2018.8599461","mag":"2907000422"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2018.8599461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","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/A5101854724","display_name":"Haochen Shi","orcid":"https://orcid.org/0000-0002-5641-1517"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haochen Shi","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757221","display_name":"Haipeng Xiao","orcid":"https://orcid.org/0000-0002-0372-7868"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Xiao","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031792324","display_name":"Jianjiang Zhou","orcid":"https://orcid.org/0000-0002-3927-4215"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjiang Zhou","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772272","display_name":"Ning Li","orcid":"https://orcid.org/0000-0001-9014-5913"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["University of Leicester, UK"],"affiliations":[{"raw_affiliation_string":"University of Leicester, UK","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101854724"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":1.2875,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82036458,"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":"383","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9879000186920166,"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/kernel","display_name":"Kernel (algebra)","score":0.668152391910553},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.6538251042366028},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.6504156589508057},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5961117148399353},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5901371836662292},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5842097997665405},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5071942806243896},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.48409783840179443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4618825614452362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4594823122024536},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.44347262382507324},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4345822334289551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3979765772819519},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.38278812170028687},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32055723667144775},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12986302375793457},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0650402307510376}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.668152391910553},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.6538251042366028},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.6504156589508057},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5961117148399353},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5901371836662292},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5842097997665405},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5071942806243896},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.48409783840179443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4618825614452362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4594823122024536},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.44347262382507324},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4345822334289551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3979765772819519},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.38278812170028687},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32055723667144775},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12986302375793457},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0650402307510376},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2018.8599461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","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":20,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W1500731913","https://openalex.org/W1548139318","https://openalex.org/W1549223806","https://openalex.org/W1964357740","https://openalex.org/W1982827240","https://openalex.org/W2087347434","https://openalex.org/W2090763504","https://openalex.org/W2096994080","https://openalex.org/W2109943925","https://openalex.org/W2114661696","https://openalex.org/W2118286367","https://openalex.org/W2119821739","https://openalex.org/W2134837462","https://openalex.org/W2139212933","https://openalex.org/W2156909104","https://openalex.org/W2369548450","https://openalex.org/W2537084562","https://openalex.org/W4239510810","https://openalex.org/W6673059145"],"related_works":["https://openalex.org/W127070535","https://openalex.org/W2353199197","https://openalex.org/W2140869420","https://openalex.org/W2005311689","https://openalex.org/W2357150443","https://openalex.org/W2383515206","https://openalex.org/W2393746448","https://openalex.org/W2384322977","https://openalex.org/W2382704364","https://openalex.org/W2220460856"],"abstract_inverted_index":{"By":[0],"analyzing":[1],"the":[2,88],"influences":[3],"of":[4,54,92],"kernel":[5,55,97],"parameter":[6,20,45,56,78,90],"and":[7,39,57],"penalty":[8,58],"factor":[9],"for":[10,29,51],"generalization":[11,103],"performance":[12,76],"on":[13,24,77],"Support":[14],"Vector":[15],"Machine":[16,61],"(SVM),":[17],"a":[18,43],"novel":[19],"optimization":[21,53],"algorithm":[22,94],"based":[23],"segmented":[25],"dichotomy":[26],"is":[27,49,64,80],"proposed":[28,69],"Radial":[30],"Basis":[31],"Function":[32],"(RBF)":[33],"kernel.":[34],"Combine":[35],"with":[36],"Segmented":[37],"Dichotomy(SD)":[38],"Gird":[40],"Searching(GS)":[41],"method,":[42],"composite":[44],"selection,":[46],"SD-GS":[47,93],"algorithm,":[48],"structured":[50],"rapid":[52],"factor.":[59],"UCI":[60],"Learning":[62],"database":[63],"used":[65],"to":[66,100],"test":[67],"our":[68],"method.":[70],"Experimental":[71],"results":[72],"have":[73,101],"shown":[74],"that":[75],"selection":[79],"better":[81],"than":[82],"traversal":[83],"exponential":[84],"grid":[85],"searching.":[86],"Thus,":[87],"optimized":[89],"combination":[91],"enables":[95],"RBF":[96],"in":[98],"SVM":[99],"higher":[102],"performance.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
