{"id":"https://openalex.org/W4237059501","doi":"https://doi.org/10.1109/icpr.2004.1334574","title":"Fast leave-one-out evaluation and improvement on inference for LS-SVMs","display_name":"Fast leave-one-out evaluation and improvement on inference for LS-SVMs","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4237059501","doi":"https://doi.org/10.1109/icpr.2004.1334574"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334574","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":null,"display_name":"Zhao Ying","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zhao Ying","raw_affiliation_strings":["Bioinf. Res. Centre, Nanyang Technol. Univ., Singapore","Bioinformatics Research Centre, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Bioinf. Res. Centre, Nanyang Technol. Univ., Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Bioinformatics Research Centre, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068210796","display_name":"Kwoh Chee Keong","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kwoh Chee Keong","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.2043,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.7622093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"494","last_page":"497 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9966999888420105,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.784986674785614},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6816408634185791},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6697661280632019},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6225709319114685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5609649419784546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5259259939193726},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5124983787536621},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.49445676803588867},{"id":"https://openalex.org/keywords/loo","display_name":"Loo","score":0.45968979597091675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4431416988372803},{"id":"https://openalex.org/keywords/approximate-bayesian-computation","display_name":"Approximate Bayesian computation","score":0.44151827692985535},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4315158724784851},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.4271787405014038},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42099729180336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36790168285369873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33298513293266296},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17457953095436096}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.784986674785614},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6816408634185791},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6697661280632019},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6225709319114685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5609649419784546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5259259939193726},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5124983787536621},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.49445676803588867},{"id":"https://openalex.org/C125453309","wikidata":"https://www.wikidata.org/wiki/Q3045008","display_name":"Loo","level":3,"score":0.45968979597091675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4431416988372803},{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.44151827692985535},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4315158724784851},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.4271787405014038},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42099729180336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36790168285369873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33298513293266296},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17457953095436096},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C164126121","wikidata":"https://www.wikidata.org/wiki/Q766383","display_name":"Quantitative structure\u2013activity relationship","level":2,"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/icpr.2004.1334574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334574","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":5,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W2029279587","https://openalex.org/W2084812512","https://openalex.org/W2117812871","https://openalex.org/W2148603752"],"related_works":["https://openalex.org/W1963674083","https://openalex.org/W2140039100","https://openalex.org/W3012988968","https://openalex.org/W4287824571","https://openalex.org/W2357762447","https://openalex.org/W2971727066","https://openalex.org/W2386661643","https://openalex.org/W2370845081","https://openalex.org/W1968036192","https://openalex.org/W2062491388"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"fast":[4,44],"leave-one-out":[5],"(LOO)":[6],"evaluation":[7],"formula":[8,61],"is":[9,35],"introduced":[10],"for":[11,66],"least":[12],"squares":[13],"support":[14],"vector":[15],"machine":[16],"(LS-SVM)":[17],"classifiers.":[18,68],"The":[19,69],"computation":[20,79],"cost":[21],"can":[22],"be":[23],"reduced":[24],"to":[25,30,49,52],"approximately":[26],"1/N":[27],"when":[28],"compared":[29],"normal":[31],"LOO":[32],"procedure":[33],"(N":[34],"the":[36,54,63],"number":[37],"of":[38,62],"training":[39],"samples).":[40],"Inspired":[41],"by":[42],"its":[43],"speed,":[45],"we":[46],"are":[47],"able":[48],"use":[50],"it":[51],"replace":[53],"original":[55],"level":[56],"3":[57],"posterior":[58],"probability":[59],"approximation":[60],"Bayesian":[64],"framework":[65,72],"LS-SVM":[67],"improved":[70],"inference":[71],"shows":[73],"higher":[74],"generalization":[75],"performance":[76],"and":[77],"faster":[78],"speed.":[80]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}