{"id":"https://openalex.org/W2107382837","doi":"https://doi.org/10.1109/cec.2005.1554741","title":"Adapting Multiple Kernel Parameters for Support Vector Machines using Genetic Algorithms","display_name":"Adapting Multiple Kernel Parameters for Support Vector Machines using Genetic Algorithms","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W2107382837","doi":"https://doi.org/10.1109/cec.2005.1554741","mag":"2107382837"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2005.1554741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","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/A5018431962","display_name":"Sergio Rojas","orcid":"https://orcid.org/0000-0001-7203-7740"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S.A. Rojas","raw_affiliation_strings":["Department of Computer Science, University College, London, UK","Division of Parasitology, National Institute for Medical Research, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Division of Parasitology, National Institute for Medical Research, London, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028040869","display_name":"Delmiro Fern\u00e1ndez-Reyes","orcid":"https://orcid.org/0000-0001-5070-9198"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"D. Fernandez-Reyes","raw_affiliation_strings":["Department of Computer Science, University College, London, UK","Division of Parasitology, National Institute for Medical Research, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Division of Parasitology, National Institute for Medical Research, London, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":6.6135,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.96266931,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"626","last_page":"631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9868999719619751,"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":0.8129117488861084},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7704064249992371},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.7155765891075134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6675314903259277},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5898395776748657},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5663668513298035},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.5639957785606384},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5466816425323486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5225074887275696},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4778689742088318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47540077567100525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46918439865112305},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.44634342193603516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4050324857234955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21745792031288147},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16626358032226562}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.8129117488861084},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7704064249992371},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.7155765891075134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6675314903259277},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5898395776748657},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5663668513298035},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.5639957785606384},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5466816425323486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5225074887275696},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4778689742088318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47540077567100525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46918439865112305},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.44634342193603516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4050324857234955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21745792031288147},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16626358032226562},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2005.1554741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.564.5310","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.564.5310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www0.cs.ucl.ac.uk/staff/S.Rojas/index_files/2005_CEC.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1521843029","https://openalex.org/W1563088657","https://openalex.org/W1576520375","https://openalex.org/W1943383135","https://openalex.org/W1986490585","https://openalex.org/W1987968083","https://openalex.org/W2084812512","https://openalex.org/W2087347434","https://openalex.org/W2107008379","https://openalex.org/W2109943925","https://openalex.org/W2119479037","https://openalex.org/W2119821739","https://openalex.org/W2123636872","https://openalex.org/W2124381019","https://openalex.org/W2143426320","https://openalex.org/W2148603752","https://openalex.org/W2158001550","https://openalex.org/W2161920802","https://openalex.org/W3023540311","https://openalex.org/W4239510810","https://openalex.org/W4285719527","https://openalex.org/W6634442568","https://openalex.org/W6676132248"],"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":{"Kernel":[0],"parameterization":[1],"is":[2,25,35,90],"a":[3,22,39,47,52],"key":[4],"design":[5],"step":[6],"in":[7,113,131],"the":[8,30,66,78,83,86],"application":[9,64],"of":[10,42,57,76,80,85,128],"support":[11],"vector":[12],"machines":[13],"(SVM)":[14],"for":[15,38,54,60,93,106],"supervised":[16],"learning":[17],"problems.":[18],"A":[19],"grid-search":[20],"with":[21,63],"cross-validation":[23],"criteria":[24],"often":[26],"conducted":[27],"to":[28,65,121,126],"choose":[29],"kernel":[31],"parameters":[32,59,81],"but":[33],"it":[34],"computationally":[36],"unfeasible":[37],"large":[40],"number":[41,79],"them.":[43],"Here":[44],"we":[45],"describe":[46],"genetic":[48],"algorithm":[49],"(GA)":[50],"as":[51],"method":[53,123],"tuning":[55],"kernels":[56,77,105],"multiple":[58],"classification":[61,109],"tasks,":[62],"weighted":[67,103],"radial":[68],"basis":[69],"function":[70],"(RBF)":[71],"kernel.":[72],"In":[73],"this":[74,122],"type":[75],"equals":[82],"dimension":[84],"input":[87],"patterns":[88],"which":[89],"usually":[91],"high":[92],"biological":[94],"datasets.":[95],"We":[96],"show":[97],"preliminary":[98],"experimental":[99],"results":[100],"where":[101],"adapted":[102],"RBF":[104],"SVM":[107],"achieve":[108],"performance":[110],"over":[111],"98%":[112],"human":[114],"serum":[115],"proteomic":[116],"profile":[117],"data.":[118],"Further":[119],"improvements":[120],"may":[124],"lead":[125],"discovery":[127],"relevant":[129],"biomarkers":[130],"biomedical":[132],"applications":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
