{"id":"https://openalex.org/W2152721143","doi":"https://doi.org/10.1109/icsmc.2008.4811301","title":"Optimization of combined kernel function for SVM based on large margin learning theory","display_name":"Optimization of combined kernel function for SVM based on large margin learning theory","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2152721143","doi":"https://doi.org/10.1109/icsmc.2008.4811301","mag":"2152721143"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2008.4811301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2008.4811301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Systems, Man and Cybernetics","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/A5111330079","display_name":"Mingzhu Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingzhu Lu","raw_affiliation_strings":["Department of Electrical and Computer engineering, University of Texas, San Antonio, San Antonio, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer engineering, University of Texas, San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008269624","display_name":"Jianbing Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I124335351","display_name":"People's Bank of China","ror":"https://ror.org/001rebv08","country_code":"CN","type":"other","lineage":["https://openalex.org/I124335351"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbing Huo","raw_affiliation_strings":["Shijiazhuang Central branch, The People's bank of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shijiazhuang Central branch, The People's bank of China, China","institution_ids":["https://openalex.org/I124335351"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I124335351","display_name":"People's Bank of China","ror":"https://ror.org/001rebv08","country_code":"CN","type":"other","lineage":["https://openalex.org/I124335351"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["Shijiazhuang Central branch, The Peoples bank of China, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shijiazhuang Central branch, The Peoples bank of China, Shijiazhuang, China","institution_ids":["https://openalex.org/I124335351"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073006299","display_name":"Xizhao Wang","orcid":"https://orcid.org/0000-0001-6036-4728"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xizhao Wang","raw_affiliation_strings":["College of Mathematics and Computer Science, Hebei University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5031,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93158749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"353","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9961000084877014,"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":0.9961000084877014,"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/T10320","display_name":"Neural Networks and Applications","score":0.9925000071525574,"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/T10057","display_name":"Face and Expression Recognition","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.759713888168335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6227884888648987},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6178427934646606},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6050724983215332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706799626350403},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5530694723129272},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.49939751625061035},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.494646281003952},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47840556502342224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4753660559654236},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.46800604462623596},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4638770818710327},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4224383234977722},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28985005617141724}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.759713888168335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227884888648987},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6178427934646606},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6050724983215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706799626350403},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5530694723129272},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.49939751625061035},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.494646281003952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47840556502342224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4753660559654236},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.46800604462623596},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4638770818710327},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4224383234977722},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28985005617141724},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2008.4811301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2008.4811301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1554922784","https://openalex.org/W1576135713","https://openalex.org/W1869391892","https://openalex.org/W1969193896","https://openalex.org/W2132958270","https://openalex.org/W2134925510","https://openalex.org/W2137478918","https://openalex.org/W2148603752","https://openalex.org/W2149298154","https://openalex.org/W2156909104","https://openalex.org/W2172000360","https://openalex.org/W4230674625","https://openalex.org/W6639165917"],"related_works":["https://openalex.org/W3123056048","https://openalex.org/W1603091392","https://openalex.org/W4389428786","https://openalex.org/W2095626363","https://openalex.org/W2974741803","https://openalex.org/W2165576085","https://openalex.org/W4386075310","https://openalex.org/W2169565408","https://openalex.org/W2420851703","https://openalex.org/W2089892314"],"abstract_inverted_index":{"Kernel":[0],"function":[1,34,73],"plays":[2],"a":[3,24,42,84,90],"very":[4],"important":[5],"role":[6],"in":[7,66,89],"the":[8,29,49,53,63,67,75,79,102,107],"performance":[9,86],"of":[10,18,31,106],"SVM.":[11],"In":[12],"order":[13],"to":[14,27,47,61,83],"improve":[15],"generalization":[16],"capability":[17],"SVM":[19,60,92],"classifier,":[20],"this":[21],"paper":[22],"proposes":[23],"new":[25],"mechanism":[26],"optimize":[28],"parameters":[30,51,76],"combined":[32,54,71],"kernel":[33,55,72],"by":[35,78],"using":[36],"large":[37],"margin":[38,65],"learning":[39],"theory":[40],"and":[41,74,87,98,104],"genetic":[43],"algorithm,":[44],"which":[45],"aims":[46],"search":[48],"optimal":[50],"for":[52],"function.":[56],"This":[57],"approach":[58,81],"leads":[59,82],"attain":[62],"maximum":[64],"training":[68],"dataset.":[69],"The":[70],"obtained":[77],"proposed":[80,108],"better":[85,91],"results":[88,97],"classifier.":[93],"Both":[94],"numerical":[95],"simulation":[96],"theoretical":[99],"analysis":[100],"show":[101],"effectiveness":[103],"feasibility":[105],"approach.":[109]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
