{"id":"https://openalex.org/W3020878060","doi":"https://doi.org/10.1109/access.2020.2992703","title":"An Efficient v-Minimum Absolute Deviation Distribution Regression Machine","display_name":"An Efficient v-Minimum Absolute Deviation Distribution Regression Machine","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3020878060","doi":"https://doi.org/10.1109/access.2020.2992703","mag":"3020878060"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2992703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086816.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086816.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100322699","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-4751-0708"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-4751-0708","affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318978","display_name":"Yao Wang","orcid":"https://orcid.org/0000-0002-3034-1354"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Wang","raw_affiliation_strings":["Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-3034-1354","affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102757998","display_name":"Yingying Song","orcid":"https://orcid.org/0000-0002-0660-7618"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Song","raw_affiliation_strings":["Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101498841","display_name":"Xuping Xie","orcid":"https://orcid.org/0000-0002-3143-8262"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuping Xie","raw_affiliation_strings":["Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101463922","display_name":"Lan Huang","orcid":"https://orcid.org/0000-0003-3233-3777"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Huang","raw_affiliation_strings":["Department of Computer Science and Technology, Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College, Jilin University, Zhuhai, China","Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-3233-3777","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College, Jilin University, Zhuhai, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210165204"]},{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081644845","display_name":"Wei Pang","orcid":"https://orcid.org/0000-0002-1761-6659"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]},{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]},{"id":"https://openalex.org/I4210085930","display_name":"Heriot-Watt University Malaysia","ror":"https://ror.org/0059w0420","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210085930"]}],"countries":["GB","MY"],"is_corresponding":false,"raw_author_name":"Wei Pang","raw_affiliation_strings":["Department of Computing Science, University of Aberdeen, Aberdeen, U.K","School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1761-6659","affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Aberdeen, Aberdeen, U.K","institution_ids":["https://openalex.org/I195460627"]},{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, U.K","institution_ids":["https://openalex.org/I32062511","https://openalex.org/I4210085930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082375941","display_name":"George M. Coghill","orcid":"https://orcid.org/0000-0002-2047-8277"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"George M. Coghill","raw_affiliation_strings":["Department of Computing Science, University of Aberdeen, Aberdeen, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Aberdeen, Aberdeen, U.K","institution_ids":["https://openalex.org/I195460627"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2885,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53274971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"85533","last_page":"85551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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":0.7347322106361389},{"id":"https://openalex.org/keywords/least-absolute-deviations","display_name":"Least absolute deviations","score":0.644237756729126},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6202067732810974},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6120340824127197},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5704542398452759},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5428736805915833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5149853825569153},{"id":"https://openalex.org/keywords/absolute-deviation","display_name":"Absolute deviation","score":0.5088377594947815},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.5025315284729004},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49656349420547485},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.4741758108139038},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4713537096977234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43797796964645386},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4183283746242523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3885188102722168},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37799888849258423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37346112728118896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.128184974193573}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7347322106361389},{"id":"https://openalex.org/C31441030","wikidata":"https://www.wikidata.org/wiki/Q4291882","display_name":"Least absolute deviations","level":3,"score":0.644237756729126},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6202067732810974},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6120340824127197},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5704542398452759},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5428736805915833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5149853825569153},{"id":"https://openalex.org/C120934525","wikidata":"https://www.wikidata.org/wiki/Q849149","display_name":"Absolute deviation","level":2,"score":0.5088377594947815},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.5025315284729004},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49656349420547485},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.4741758108139038},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4713537096977234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43797796964645386},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4183283746242523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3885188102722168},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37799888849258423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37346112728118896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.128184974193573},{"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2992703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086816.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8e42ef0a8fb34c4987413fcb8eea8b3b","is_oa":true,"landing_page_url":"https://doaj.org/article/8e42ef0a8fb34c4987413fcb8eea8b3b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 85533-85551 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2992703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086816.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2621900832","display_name":"\u86cb\u767d\u8d28\u7ed3\u5408\u4f4d\u70b9\u591a\u7ed3\u6784\u6bd4\u5bf9\u4e0e\u7ed3\u6784\u641c\u7d22\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6704339258","display_name":null,"funder_award_id":"61702214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7748177378","display_name":null,"funder_award_id":"20180414012GH","funder_id":"https://openalex.org/F4320322174","funder_display_name":"People's Government of Jilin Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3020878060.pdf","grobid_xml":"https://content.openalex.org/works/W3020878060.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W121655352","https://openalex.org/W748179742","https://openalex.org/W847647448","https://openalex.org/W1499021337","https://openalex.org/W1516903196","https://openalex.org/W1560724230","https://openalex.org/W1596717185","https://openalex.org/W1629097610","https://openalex.org/W1724210103","https://openalex.org/W1860574113","https://openalex.org/W1964357740","https://openalex.org/W1969171592","https://openalex.org/W1973560868","https://openalex.org/W1984380945","https://openalex.org/W1986526475","https://openalex.org/W2017247229","https://openalex.org/W2017776670","https://openalex.org/W2028870622","https://openalex.org/W2061879449","https://openalex.org/W2075731237","https://openalex.org/W2086161653","https://openalex.org/W2089310500","https://openalex.org/W2090089568","https://openalex.org/W2091825929","https://openalex.org/W2095705004","https://openalex.org/W2100038678","https://openalex.org/W2118585731","https://openalex.org/W2125993116","https://openalex.org/W2133078477","https://openalex.org/W2137515395","https://openalex.org/W2138319970","https://openalex.org/W2140196823","https://openalex.org/W2145258765","https://openalex.org/W2151509918","https://openalex.org/W2153635508","https://openalex.org/W2156736119","https://openalex.org/W2161920802","https://openalex.org/W2165966284","https://openalex.org/W2172000360","https://openalex.org/W2288560581","https://openalex.org/W2503808305","https://openalex.org/W2510283119","https://openalex.org/W2596553370","https://openalex.org/W2749975651","https://openalex.org/W2791205974","https://openalex.org/W2887636355","https://openalex.org/W2904219654","https://openalex.org/W2962702916","https://openalex.org/W3105622673","https://openalex.org/W3144619878","https://openalex.org/W4246419549","https://openalex.org/W6630841318","https://openalex.org/W6636899088","https://openalex.org/W6637563832","https://openalex.org/W6674330103","https://openalex.org/W6677656871","https://openalex.org/W6683220846"],"related_works":["https://openalex.org/W2355003984","https://openalex.org/W2366834915","https://openalex.org/W2365225273","https://openalex.org/W141511532","https://openalex.org/W4286693783","https://openalex.org/W3175914740","https://openalex.org/W3183008414","https://openalex.org/W4294982320","https://openalex.org/W3034587794","https://openalex.org/W2028538423"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Regression":[2],"(SVR)":[3],"and":[4,12,57,69,93,131,156],"its":[5],"variants":[6],"are":[7],"widely":[8,151],"used":[9,152],"regression":[10,30,54,60,74],"algorithms,":[11],"they":[13],"have":[14],"demonstrated":[15],"high":[16],"generalization":[17,47,142],"ability.":[18],"This":[19],"research":[20],"proposes":[21],"a":[22,83,118],"new":[23],"SVR-based":[24],"regressor:":[25],"v-minimum":[26],"absolute":[27,53,59],"deviation":[28,55,61,75],"distribution":[29],"(v-MADR)":[31],"machine.":[32],"Instead":[33],"of":[34,72,76,113,123,165],"merely":[35],"minimizing":[36,50],"structural":[37],"risk,":[38],"as":[39],"with":[40,144],"v-SVR,":[41,153],"v-MADR":[42,114,137,166],"aims":[43],"to":[44,117,149],"achieve":[45],"better":[46],"performance":[48,143],"by":[49],"both":[51,129],"the":[52,58,67,73,110,121,150,163],"mean":[56],"variance,":[62],"which":[63],"takes":[64],"into":[65],"account":[66],"positive":[68],"negative":[70],"values":[71],"sample":[77,91],"points.":[78],"For":[79],"optimization,":[80],"we":[81,94,108,160],"propose":[82,96],"dual":[84],"coordinate":[85],"descent":[86,101],"(DCD)":[87],"algorithm":[88,103],"for":[89,104,169],"small":[90],"problems,":[92],"also":[95],"an":[97],"averaged":[98],"stochastic":[99],"gradient":[100],"(ASGD)":[102],"large-scale":[105],"problems.":[106],"Furthermore,":[107],"study":[109],"statistical":[111],"property":[112],"that":[115,135],"leads":[116],"bound":[119],"on":[120,128],"expectation":[122],"error.":[124],"The":[125],"experimental":[126],"results":[127],"artificial":[130],"real":[132],"datasets":[133],"indicate":[134],"our":[136],"has":[138],"significant":[139],"improvement":[140],"in":[141],"less":[145],"training":[146],"time":[147],"compared":[148],"LS-SVR,":[154],"\u03b5-TSVR,":[155],"linear":[157],"\u03b5-SVR.":[158],"Finally,":[159],"open":[161],"source":[162],"code":[164],"at":[167],"https://github.com/AsunaYY/v-MADR":[168],"wider":[170],"dissemination.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
