{"id":"https://openalex.org/W1547619615","doi":"https://doi.org/10.1007/11840930_44","title":"A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression","display_name":"A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1547619615","doi":"https://doi.org/10.1007/11840930_44","mag":"1547619615"},"language":"en","primary_location":{"id":"doi:10.1007/11840930_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11840930_44","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5049236982","display_name":"Stefan Klanke","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Stefan Klanke","raw_affiliation_strings":["Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 10 01 31, 33501, Bielefeld, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 10 01 31, 33501, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074989840","display_name":"Helge Ritter","orcid":"https://orcid.org/0000-0003-1703-1906"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Helge Ritter","raw_affiliation_strings":["Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 10 01 31, 33501, Bielefeld, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 10 01 31, 33501, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049236982"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.5819,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84687262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9976999759674072,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.7730264663696289},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.6226199865341187},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5932567715644836},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5880731344223022},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5426710844039917},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5249079465866089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5174651741981506},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"Kernel regression","score":0.512215793132782},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4993410110473633},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4879445433616638},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.45925256609916687},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43402737379074097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4267400801181793},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41174596548080444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3654007315635681},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2299865186214447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19320949912071228},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1701873540878296},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.06627506017684937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730264663696289},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.6226199865341187},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5932567715644836},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5880731344223022},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5426710844039917},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5249079465866089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5174651741981506},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.512215793132782},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4993410110473633},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4879445433616638},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.45925256609916687},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43402737379074097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4267400801181793},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41174596548080444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3654007315635681},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2299865186214447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19320949912071228},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1701873540878296},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.06627506017684937},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/11840930_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11840930_44","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.85.4056","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.4056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.techfak.uni-bielefeld.de/ags/ni/publications/media/KlankeRitter2006_LKO_draft.pdf","raw_type":"text"},{"id":"pmh:oai:pub.librecat.org:1597245","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/1597245","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Klanke S, Ritter H. A leave-K-out cross-validation scheme for unsupervised kernel regression. In:  <em>ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2</em>. Lecture notes in computer science. Vol 4132. SPRINGER-VERLAG BERLIN;  2006: 427-436.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1808678438","https://openalex.org/W1971713783","https://openalex.org/W2001141328","https://openalex.org/W2003767009","https://openalex.org/W2053186076","https://openalex.org/W2097308346","https://openalex.org/W2099229603","https://openalex.org/W2107636931","https://openalex.org/W2143908786","https://openalex.org/W2173922786","https://openalex.org/W2211925278"],"related_works":["https://openalex.org/W2390541572","https://openalex.org/W2130121108","https://openalex.org/W3104331291","https://openalex.org/W2150575761","https://openalex.org/W2018798674","https://openalex.org/W2913100396","https://openalex.org/W1485132333","https://openalex.org/W4240247759","https://openalex.org/W2157272197","https://openalex.org/W4298856555"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}