{"id":"https://openalex.org/W2115140902","doi":"https://doi.org/10.1109/iske.2008.4730908","title":"Fast tuning of SVM kernel parameter using distance between two classes","display_name":"Fast tuning of SVM kernel parameter using distance between two classes","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2115140902","doi":"https://doi.org/10.1109/iske.2008.4730908","mag":"2115140902"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2008.4730908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4730908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","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/A5027824937","display_name":"Jiancheng Sun","orcid":"https://orcid.org/0000-0001-9375-8918"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiancheng Sun","raw_affiliation_strings":["School of Electronics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China","Sch. of Electron, Jiangxi Univ. of Finance & Econ., Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"Sch. of Electron, Jiangxi Univ. of Finance & Econ., Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027824937"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":1.0536,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79924712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9972000122070312,"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":0.9909999966621399,"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":0.7833033800125122},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7750860452651978},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.7450796961784363},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6981284618377686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6395480632781982},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5568262934684753},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5030307173728943},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.47093072533607483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45461639761924744},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4489273428916931},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.4485361874103546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4278213083744049},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.4163419008255005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40139633417129517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32475972175598145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08750942349433899}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7833033800125122},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7750860452651978},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.7450796961784363},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6981284618377686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6395480632781982},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5568262934684753},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5030307173728943},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.47093072533607483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45461639761924744},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4489273428916931},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.4485361874103546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4278213083744049},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.4163419008255005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40139633417129517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32475972175598145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08750942349433899},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2008.4730908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4730908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","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":15,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W1540007258","https://openalex.org/W1554944419","https://openalex.org/W1601740268","https://openalex.org/W2113584252","https://openalex.org/W2116920932","https://openalex.org/W2119821739","https://openalex.org/W2143628522","https://openalex.org/W2156909104","https://openalex.org/W2158001550","https://openalex.org/W2171033594","https://openalex.org/W2171975443","https://openalex.org/W2172000360","https://openalex.org/W2543505450","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W4311138679","https://openalex.org/W2393746448","https://openalex.org/W2384322977","https://openalex.org/W127070535","https://openalex.org/W3123056048","https://openalex.org/W2353199197","https://openalex.org/W2140869420","https://openalex.org/W2005311689","https://openalex.org/W1984421104","https://openalex.org/W2357150443"],"abstract_inverted_index":{"In":[0],"the":[1,14,22,29,39,42,60,71,76,80],"construction":[2],"of":[3],"support":[4],"vector":[5],"machines":[6],"(SVM)":[7],"an":[8],"important":[9],"step":[10],"is":[11,45],"to":[12,32],"select":[13],"optimal":[15],"kernel":[16,35],"parameters.":[17,36],"This":[18],"letter":[19],"proposes":[20],"using":[21],"distance":[23],"between":[24],"two":[25],"classes":[26],"(DBTC)":[27],"in":[28],"feature":[30],"space":[31],"help":[33],"choose":[34,75],"Based":[37],"on":[38],"proposed":[40,72],"method,":[41],"DBTC":[43],"function":[44],"approximated":[46],"accurately":[47],"with":[48,62],"sigmoid":[49],"function.":[50],"The":[51],"computation":[52,81],"complexity":[53],"decreases":[54,83],"significantly":[55],"since":[56],"training":[57],"SVM":[58],"and":[59,79],"test":[61],"all":[63],"parameters":[64,77],"are":[65],"avoided.":[66],"Empirical":[67],"comparisons":[68],"demonstrate":[69],"that":[70],"method":[73],"can":[74],"precisely,":[78],"time":[82],"dramatically":[84]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
