{"id":"https://openalex.org/W1484787627","doi":"https://doi.org/10.1007/11539087_66","title":"A Simple Quantile Regression via Support Vector Machine","display_name":"A Simple Quantile Regression via Support Vector Machine","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1484787627","doi":"https://doi.org/10.1007/11539087_66","mag":"1484787627"},"language":"en","primary_location":{"id":"doi:10.1007/11539087_66","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11539087_66","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":"book-chapter","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/A5041575206","display_name":"Changha Hwang","orcid":"https://orcid.org/0000-0003-1262-5051"},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Changha Hwang","raw_affiliation_strings":["Division of Information and Computer Sciences, Dankook University, Seoul, Korea","Division of Information and Computer Sciences, Dankook University, Seoul, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Division of Information and Computer Sciences, Dankook University, Seoul, Korea","institution_ids":["https://openalex.org/I89015989"]},{"raw_affiliation_string":"Division of Information and Computer Sciences, Dankook University, Seoul, Korea#TAB#","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104362525","display_name":"Jooyong Shim","orcid":"https://orcid.org/0000-0003-2828-9232"},"institutions":[{"id":"https://openalex.org/I39705031","display_name":"Catholic University of Daegu","ror":"https://ror.org/04fxknd68","country_code":"KR","type":"education","lineage":["https://openalex.org/I39705031"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jooyong Shim","raw_affiliation_strings":["Corresponding Author, Department of Statistical Information, Catholic University of Daegu, Kyungbuk, Korea"],"affiliations":[{"raw_affiliation_string":"Corresponding Author, Department of Statistical Information, Catholic University of Daegu, Kyungbuk, Korea","institution_ids":["https://openalex.org/I39705031"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041575206"],"corresponding_institution_ids":["https://openalex.org/I89015989"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.6079,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.78961749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"512","last_page":"520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9907000064849854,"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/T11236","display_name":"Control Systems and Identification","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.7922123670578003},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.748953104019165},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7135292887687683},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6037135124206543},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.6025702953338623},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5820289850234985},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5668417811393738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5373664498329163},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5283340215682983},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.5063732862472534},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5061816573143005},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4776647984981537},{"id":"https://openalex.org/keywords/quantile-function","display_name":"Quantile function","score":0.47254419326782227},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.447378009557724},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.428425133228302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40120819211006165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.389904260635376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33978569507598877},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1641283929347992},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13542020320892334},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.07830864191055298}],"concepts":[{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.7922123670578003},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.748953104019165},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7135292887687683},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6037135124206543},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.6025702953338623},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5820289850234985},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5668417811393738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5373664498329163},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5283340215682983},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.5063732862472534},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5061816573143005},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4776647984981537},{"id":"https://openalex.org/C47121976","wikidata":"https://www.wikidata.org/wiki/Q3489473","display_name":"Quantile function","level":4,"score":0.47254419326782227},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.447378009557724},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.428425133228302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40120819211006165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.389904260635376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33978569507598877},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1641283929347992},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13542020320892334},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.07830864191055298},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11539087_66","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11539087_66","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":17,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W1482684349","https://openalex.org/W1563088657","https://openalex.org/W1601740268","https://openalex.org/W1869391892","https://openalex.org/W1984570338","https://openalex.org/W1995558350","https://openalex.org/W2105038653","https://openalex.org/W2140494000","https://openalex.org/W2147646644","https://openalex.org/W2148603752","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2256588869","https://openalex.org/W2466564333","https://openalex.org/W4241653265","https://openalex.org/W4241996101"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W3136930549","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W2364275385","https://openalex.org/W4318833145","https://openalex.org/W2007977664","https://openalex.org/W2224749288","https://openalex.org/W4367060869"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}