{"id":"https://openalex.org/W2378236342","doi":null,"title":"An Improvement SVM Learning Algorithm with Parallel Processing","display_name":"An Improvement SVM Learning Algorithm with Parallel Processing","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2378236342","mag":"2378236342"},"language":"en","primary_location":{"id":"mag:2378236342","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTotal-WXYJ200902012.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764700129","display_name":"Microelectronics & Computer","issn_l":"1000-7180","issn":["1000-7180"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4322697011","host_organization_name":"IEEE","host_organization_lineage":["https://openalex.org/P4322697011"],"host_organization_lineage_names":["IEEE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Microelectronics & Computer","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5110574802","display_name":"YU Zhi-fu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210097119","display_name":"PLA Electronic Engineering Institute","ror":"https://ror.org/00z0n4g71","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210097119"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"YU Zhi-fu","raw_affiliation_strings":["PLA Electronic Engineering Institute,Hefei 230037,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Electronic Engineering Institute,Hefei 230037,China)","institution_ids":["https://openalex.org/I4210097119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110574802"],"corresponding_institution_ids":["https://openalex.org/I4210097119"],"apc_list":null,"apc_paid":null,"fwci":0.5711,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6905772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.5062999725341797,"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/T12676","display_name":"Machine Learning and ELM","score":0.5062999725341797,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.10809999704360962,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.09950000047683716,"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":0.9959999918937683},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"parallel computing","score":0.9319999814033508},{"id":"https://openalex.org/keywords/data-reduction","display_name":"data reduction","score":0.5580000281333923},{"id":"https://openalex.org/keywords/training-speed","display_name":"training speed","score":0.6460000276565552},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"pattern recognition","score":0.7210000157356262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598301410675049},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8239231109619141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5982894897460938},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.5769940614700317},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5484111309051514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450447201728821},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4959178864955902},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4805222451686859},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44660431146621704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44229042530059814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06978413462638855},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2378236342","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTotal-WXYJ200902012.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764700129","display_name":"Microelectronics & Computer","issn_l":"1000-7180","issn":["1000-7180"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4322697011","host_organization_name":"IEEE","host_organization_lineage":["https://openalex.org/P4322697011"],"host_organization_lineage_names":["IEEE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Microelectronics & Computer","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2101372905","https://openalex.org/W2388876373","https://openalex.org/W2132413854","https://openalex.org/W2393948110","https://openalex.org/W2376484140","https://openalex.org/W2036133907","https://openalex.org/W2348694033","https://openalex.org/W1583456686","https://openalex.org/W2082504125","https://openalex.org/W2376360153"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machine(SVM)presents":[2],"excellent":[3],"performance":[4],"to":[5,24,50,71],"solving":[6],"the":[7,13,45,54,64,66],"problems":[8,14],"with":[9,26],"small":[10,51,61],"sample,nonlinear":[11],"and":[12],"of":[15,29,48],"high-dimension":[16],"pattern":[17],"recognition,but":[18],"it":[19],"has":[20,95],"slow":[21],"training":[22,93],"speed":[23,91],"deal":[25],"large":[27,46],"amount":[28,47],"data.So":[30],"an":[31],"improvement":[32,86],"SVM":[33,55,68,74,87],"learning":[34,88],"algorithm":[35,43,89],"is":[36,69],"proposed":[37],"based":[38],"on":[39],"circular":[40],"iterative":[41],"algorithm.This":[42],"plots":[44],"data":[49,52,62],"set,and":[53],"can":[56,82,90],"be":[57,83],"trained":[58],"by":[59,77],"each":[60],"set,in":[63],"end":[65],"final":[67],"got":[70],"combine":[72],"two":[73],"in":[75],"turn":[76],"combination":[78],"algorithm.Through":[79],"simulation":[80],"experiment,it":[81],"founded":[84],"that":[85],"up":[92],"rate,and":[94],"high":[96],"recognition":[97],"rate.":[98]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2016-06-24T00:00:00"}
