{"id":"https://openalex.org/W95737142","doi":"https://doi.org/10.1007/978-3-642-31588-6_14","title":"SVM Regularizer Models on RKHS vs. on R m","display_name":"SVM Regularizer Models on RKHS vs. on R m","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W95737142","doi":"https://doi.org/10.1007/978-3-642-31588-6_14","mag":"95737142"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-31588-6_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-31588-6_14","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/A5065545483","display_name":"Yinli Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yinli Dong","raw_affiliation_strings":["Foundation Department, Xian Eurasia University, P.R. China, 701165"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foundation Department, Xian Eurasia University, P.R. China, 701165","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072019950","display_name":"Shuisheng Zhou","orcid":"https://orcid.org/0000-0003-4764-9483"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuisheng Zhou","raw_affiliation_strings":["School of Science, Xidian University, P.R. China, 710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xidian University, P.R. China, 710071","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.9495092630386353},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7063710689544678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6369267106056213},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.5924098491668701},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5279295444488525},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.5078166127204895},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49551403522491455},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4627746343612671},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.45063725113868713},{"id":"https://openalex.org/keywords/representer-theorem","display_name":"Representer theorem","score":0.4329182207584381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4299975037574768},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.41652172803878784},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4151926636695862},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4119395315647125},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39101141691207886},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.3908706307411194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3898788094520569},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34898871183395386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1848265826702118},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.13627856969833374},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.09118279814720154}],"concepts":[{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.9495092630386353},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7063710689544678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6369267106056213},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.5924098491668701},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5279295444488525},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.5078166127204895},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49551403522491455},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4627746343612671},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.45063725113868713},{"id":"https://openalex.org/C172623408","wikidata":"https://www.wikidata.org/wiki/Q7314263","display_name":"Representer theorem","level":5,"score":0.4329182207584381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4299975037574768},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.41652172803878784},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4151926636695862},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4119395315647125},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39101141691207886},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.3908706307411194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3898788094520569},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34898871183395386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1848265826702118},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.13627856969833374},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.09118279814720154},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-31588-6_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-31588-6_14","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W1540155273","https://openalex.org/W1549656520","https://openalex.org/W1589603734","https://openalex.org/W1596717185","https://openalex.org/W1605479404","https://openalex.org/W1621799579","https://openalex.org/W1698155719","https://openalex.org/W2008056655","https://openalex.org/W2011721715","https://openalex.org/W2024370928","https://openalex.org/W2069231281","https://openalex.org/W2084812512","https://openalex.org/W2137285073","https://openalex.org/W2140095548","https://openalex.org/W2142114945","https://openalex.org/W2147898188","https://openalex.org/W2156909104","https://openalex.org/W2296319761","https://openalex.org/W2798909945","https://openalex.org/W4230674625"],"related_works":["https://openalex.org/W2038278625","https://openalex.org/W2061713275","https://openalex.org/W2056283567","https://openalex.org/W4247446331","https://openalex.org/W1975708617","https://openalex.org/W2535206775","https://openalex.org/W4243330733","https://openalex.org/W3118393464","https://openalex.org/W2172290429","https://openalex.org/W177392165"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
