{"id":"https://openalex.org/W90543052","doi":"https://doi.org/10.1007/978-3-662-44851-9_19","title":"Preventing Over-Fitting of Cross-Validation with Kernel Stability","display_name":"Preventing Over-Fitting of Cross-Validation with Kernel Stability","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W90543052","doi":"https://doi.org/10.1007/978-3-662-44851-9_19","mag":"90543052"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-44851-9_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-44851-9_19","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":"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/A5028071674","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-6739-621X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089843351","display_name":"Shizhong Liao","orcid":"https://orcid.org/0000-0003-0594-7116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shizhong Liao","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"290","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9972000122070312,"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/T12676","display_name":"Machine Learning and ELM","score":0.9954000115394592,"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":0.7815369367599487},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6492928862571716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.600540280342102},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.5836617946624756},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5180819034576416},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4768420457839966},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46500739455223083},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.4585570693016052},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4444126486778259},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3964014947414398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.335121750831604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24504512548446655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16557544469833374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1411409080028534},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0666922926902771},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06073686480522156}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7815369367599487},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6492928862571716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.600540280342102},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.5836617946624756},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5180819034576416},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4768420457839966},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46500739455223083},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.4585570693016052},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4444126486778259},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3964014947414398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.335121750831604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24504512548446655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16557544469833374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1411409080028534},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0666922926902771},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06073686480522156},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-662-44851-9_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-44851-9_19","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W27434444","https://openalex.org/W1486658274","https://openalex.org/W1517808374","https://openalex.org/W1538813063","https://openalex.org/W1596717185","https://openalex.org/W1680392829","https://openalex.org/W1755117326","https://openalex.org/W2009772318","https://openalex.org/W2031823405","https://openalex.org/W2055186664","https://openalex.org/W2065897648","https://openalex.org/W2082233060","https://openalex.org/W2105463715","https://openalex.org/W2106261996","https://openalex.org/W2114892327","https://openalex.org/W2116882733","https://openalex.org/W2124022122","https://openalex.org/W2137563479","https://openalex.org/W2138263042","https://openalex.org/W2143296641","https://openalex.org/W2145295623","https://openalex.org/W2154776925","https://openalex.org/W2156909104","https://openalex.org/W2158001550","https://openalex.org/W2158512970","https://openalex.org/W2162009929","https://openalex.org/W2168127628","https://openalex.org/W2171188027","https://openalex.org/W2171710336","https://openalex.org/W2171792531","https://openalex.org/W2188217758","https://openalex.org/W2579923771","https://openalex.org/W2964020133","https://openalex.org/W3023786531","https://openalex.org/W4230674625","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2127229869","https://openalex.org/W3123056048","https://openalex.org/W2095626363","https://openalex.org/W2079825755","https://openalex.org/W2142373740","https://openalex.org/W2378395822","https://openalex.org/W2383417279","https://openalex.org/W822143252","https://openalex.org/W2086619942","https://openalex.org/W2089516014"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
