{"id":"https://openalex.org/W2247651465","doi":"https://doi.org/10.1109/smc.2015.471","title":"Novel Multi-output Support Vector Regression Model via Double Regularization","display_name":"Novel Multi-output Support Vector Regression Model via Double Regularization","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2247651465","doi":"https://doi.org/10.1109/smc.2015.471","mag":"2247651465"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2015.471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100610815","display_name":"Yanyan Yang","orcid":"https://orcid.org/0000-0002-7190-6489"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Yang","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069347046","display_name":"Degang Chen","orcid":"https://orcid.org/0000-0002-1135-9807"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Degang Chen","raw_affiliation_strings":["Department of Mathematics and Physics, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Physics, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002923375","display_name":"Ze Dong","orcid":"https://orcid.org/0000-0003-3269-2913"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Dong","raw_affiliation_strings":["Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding, P. R. China"],"affiliations":[{"raw_affiliation_string":"Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding, P. R. China","institution_ids":["https://openalex.org/I153473198"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":"9","issue":null,"first_page":"2697","last_page":"2701"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.987,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.987,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9773,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9701,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization","score":0.61890435},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.5724063}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.63593835},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.61890435},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5724063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.53292793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5328266},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4911439},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4877999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42611519},{"id":"https://openalex.org/C141718189","wikidata":"https://www.wikidata.org/wiki/Q7309628","display_name":"Regularization perspectives on support vector machines","level":4,"score":0.41256437},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40790543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39285648},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33800095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27326918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18806404},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15299013},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.08800337},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.08617434},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2015.471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1587294646","https://openalex.org/W1973560868","https://openalex.org/W1988748730","https://openalex.org/W1998231903","https://openalex.org/W2035100132","https://openalex.org/W2036731840","https://openalex.org/W2055271147","https://openalex.org/W2070960910","https://openalex.org/W2087418786","https://openalex.org/W2097334502","https://openalex.org/W2119040979","https://openalex.org/W2123737232","https://openalex.org/W2133042373","https://openalex.org/W2161837235","https://openalex.org/W2162421262","https://openalex.org/W3119651796","https://openalex.org/W4236383456","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4254199101","https://openalex.org/W4244380269","https://openalex.org/W3110578843","https://openalex.org/W2935233291","https://openalex.org/W2783547182","https://openalex.org/W2388364587","https://openalex.org/W2366023887","https://openalex.org/W2062975788","https://openalex.org/W1989857057","https://openalex.org/W1570628932"],"abstract_inverted_index":{"Multi-output":[0],"regression":[1,31,48],"estimation":[2],"aims":[3],"at":[4],"mining":[5],"a":[6,29,43,89,130,137],"vector-valued":[7],"function":[8],"from":[9],"multi-dimensional":[10,14,30],"input":[11,73],"vector":[12,47,63,109],"to":[13,27,68,77],"output":[15,19,55,86],"vector.":[16],"However,":[17],"the":[18,36,65,69,72,79,103],"variables":[20],"may":[21],"be":[22],"correlative.":[23],"It":[24],"is":[25,110],"desirable":[26],"develop":[28],"model":[32,49,125],"taking":[33],"advantage":[34],"of":[35,71,94,115],"possible":[37],"correlations.":[38],"Therefore,":[39],"this":[40,82,127],"paper":[41,128],"proposes":[42],"novel":[44],"multi-output":[45],"support":[46],"via":[50],"double":[51],"regularization.":[52],"For":[53],"each":[54],"variable,":[56],"we":[57],"first":[58],"introduce":[59],"an":[60],"influential":[61,96,107],"level":[62,97,108],"with":[64],"dimensionality":[66],"equal":[67],"one":[70],"vector,":[74],"in":[75,113,126],"order":[76],"characterize":[78],"correlation":[80],"between":[81],"variable":[83],"and":[84],"other":[85],"variables.":[87],"As":[88],"second":[90],"regularization":[91],"term,":[92],"2-norms":[93],"all":[95],"vectors":[98],"are":[99],"then":[100],"added":[101],"into":[102],"objective":[104],"function.":[105],"Each":[106],"also":[111],"considered":[112],"constraints":[114],"our":[116,123],"model.":[117],"Finally,":[118],"experimental":[119],"comparisons":[120],"demonstrate":[121],"that":[122],"proposed":[124],"has":[129],"better":[131,138],"generalization":[132],"performance":[133],"as":[134,136],"well":[135],"robustness.":[139]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2247651465","counts_by_year":[],"updated_date":"2024-12-13T06:04:23.659334","created_date":"2016-06-24"}