{"id":"https://openalex.org/W1482684349","doi":"https://doi.org/10.1023/a:1012474916001","title":"Efficient SVM Regression Training with SMO","display_name":"Efficient SVM Regression Training with SMO","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1482684349","doi":"https://doi.org/10.1023/a:1012474916001","mag":"1482684349"},"language":"en","primary_location":{"id":"doi:10.1023/a:1012474916001","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1012474916001","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1012474916001.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1023/A:1012474916001.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033919482","display_name":"Gary William Flake","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gary William Flake","raw_affiliation_strings":["NEC Research Institute, 4 Independence Way, Princeton, NJ, 08540, USA","NEC Research Institute, 4 Independence Way, Princeton, NJ 08540, USA. flake@research.nj.nec.com"],"affiliations":[{"raw_affiliation_string":"NEC Research Institute, 4 Independence Way, Princeton, NJ, 08540, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"NEC Research Institute, 4 Independence Way, Princeton, NJ 08540, USA. flake@research.nj.nec.com","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112573274","display_name":"Steve Lawrence","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Lawrence","raw_affiliation_strings":["NEC Research Institute, 4 Independence Way, Princeton, NJ, 08540, USA","NEC Research Institute, 4 Independence Way, Princeton, NJ 08540, USA.  lawrence@research.nj.nec.com"],"affiliations":[{"raw_affiliation_string":"NEC Research Institute, 4 Independence Way, Princeton, NJ, 08540, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"NEC Research Institute, 4 Independence Way, Princeton, NJ 08540, USA.  lawrence@research.nj.nec.com","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033919482"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":9.069,"has_fulltext":true,"cited_by_count":316,"citation_normalized_percentile":{"value":0.9832018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"46","issue":"1-3","first_page":"271","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9990000128746033,"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/T12676","display_name":"Machine Learning and ELM","score":0.9990000128746033,"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/sequential-minimal-optimization","display_name":"Sequential minimal optimization","score":0.7726732492446899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714820921421051},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6830997467041016},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6558738946914673},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6368321180343628},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.5778161883354187},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.516542375087738},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48651307821273804},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.48030704259872437},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46561765670776367},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42132139205932617},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.41432851552963257},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36418092250823975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3532595634460449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34486544132232666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3439195156097412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23264023661613464},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07283103466033936},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.05874025821685791}],"concepts":[{"id":"https://openalex.org/C10719679","wikidata":"https://www.wikidata.org/wiki/Q2679145","display_name":"Sequential minimal optimization","level":3,"score":0.7726732492446899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714820921421051},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6830997467041016},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6558738946914673},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6368321180343628},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.5778161883354187},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.516542375087738},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48651307821273804},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.48030704259872437},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46561765670776367},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42132139205932617},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.41432851552963257},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36418092250823975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3532595634460449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34486544132232666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3439195156097412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23264023661613464},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07283103466033936},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.05874025821685791},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1023/a:1012474916001","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1012474916001","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1012474916001.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1023/a:1012474916001","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1012474916001","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1012474916001.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1482684349.pdf","grobid_xml":"https://content.openalex.org/works/W1482684349.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W184023059","https://openalex.org/W1496612019","https://openalex.org/W1512098439","https://openalex.org/W1549386224","https://openalex.org/W1564719599","https://openalex.org/W1574862351","https://openalex.org/W1604938182","https://openalex.org/W1663792126","https://openalex.org/W1761010383","https://openalex.org/W1797539709","https://openalex.org/W1964357740","https://openalex.org/W2094631910","https://openalex.org/W2100038678","https://openalex.org/W2105038653","https://openalex.org/W2122284941","https://openalex.org/W2128548806","https://openalex.org/W2139212933","https://openalex.org/W2151040995","https://openalex.org/W2156909104","https://openalex.org/W3036383388","https://openalex.org/W3193477162","https://openalex.org/W4230674625","https://openalex.org/W6632829569","https://openalex.org/W6633685256","https://openalex.org/W6641163509"],"related_works":["https://openalex.org/W14783709","https://openalex.org/W2538830880","https://openalex.org/W2096504223","https://openalex.org/W2361876834","https://openalex.org/W2609765694","https://openalex.org/W2113343767","https://openalex.org/W2026658989","https://openalex.org/W2118956063","https://openalex.org/W2112179109","https://openalex.org/W2485134425"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}
