{"id":"https://openalex.org/W2075731237","doi":"https://doi.org/10.1007/s11063-004-5714-1","title":"An Incremental Learning Strategy for Support Vector Regression","display_name":"An Incremental Learning Strategy for Support Vector Regression","publication_year":2005,"publication_date":"2005-04-14","ids":{"openalex":"https://openalex.org/W2075731237","doi":"https://doi.org/10.1007/s11063-004-5714-1","mag":"2075731237"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-004-5714-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-004-5714-1","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-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":"https://openalex.org/A5100773704","display_name":"Wenjian Wang","orcid":"https://orcid.org/0000-0002-8276-3639"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"WENJIAN WANG","raw_affiliation_strings":["Institute of System Engineering, Faculty of Computer and Information Technology, Shanxi University, Taiyuan, 030006, People\u2019s Republic of China","Institute of System Engineering, Faculty of Computer and Information Technology, Shanxi University, Taiyuan, People's Republic of China 030006"],"affiliations":[{"raw_affiliation_string":"Institute of System Engineering, Faculty of Computer and Information Technology, Shanxi University, Taiyuan, 030006, People\u2019s Republic of China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"Institute of System Engineering, Faculty of Computer and Information Technology, Shanxi University, Taiyuan, People's Republic of China 030006","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100773704"],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.2973,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.60388412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"21","issue":"3","first_page":"175","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9973000288009644,"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/support-vector-machine","display_name":"Support vector machine","score":0.7357046604156494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6018879413604736},{"id":"https://openalex.org/keywords/structural-risk-minimization","display_name":"Structural risk minimization","score":0.6008719205856323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5480176210403442},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5462377667427063},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5022215843200684},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4786328375339508},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4768567979335785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4588092565536499},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4578413665294647},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4515969157218933},{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.4117380976676941},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4061664342880249},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.34482041001319885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28048470616340637}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7357046604156494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6018879413604736},{"id":"https://openalex.org/C154507838","wikidata":"https://www.wikidata.org/wiki/Q7625053","display_name":"Structural risk minimization","level":3,"score":0.6008719205856323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5480176210403442},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5462377667427063},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5022215843200684},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4786328375339508},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4768567979335785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4588092565536499},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4578413665294647},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4515969157218933},{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.4117380976676941},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4061664342880249},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.34482041001319885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28048470616340637},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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:10.1007/s11063-004-5714-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-004-5714-1","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W146900863","https://openalex.org/W197159984","https://openalex.org/W1483816357","https://openalex.org/W1496612019","https://openalex.org/W1512098439","https://openalex.org/W1563088657","https://openalex.org/W1574862351","https://openalex.org/W1601740268","https://openalex.org/W1761010383","https://openalex.org/W1869391892","https://openalex.org/W2056401416","https://openalex.org/W2084812512","https://openalex.org/W2094977433","https://openalex.org/W2102794349","https://openalex.org/W2103105543","https://openalex.org/W2108807072","https://openalex.org/W2123737232","https://openalex.org/W2143956139","https://openalex.org/W2148603752","https://openalex.org/W2149684865","https://openalex.org/W2156909104","https://openalex.org/W2158078575","https://openalex.org/W2169384781","https://openalex.org/W2492794003","https://openalex.org/W2596954818"],"related_works":["https://openalex.org/W4387349426","https://openalex.org/W4248396893","https://openalex.org/W3118393464","https://openalex.org/W1975708617","https://openalex.org/W3101749733","https://openalex.org/W3131787954","https://openalex.org/W50698531","https://openalex.org/W4243330733","https://openalex.org/W2065936395","https://openalex.org/W2056283567"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
