{"id":"https://openalex.org/W2126073238","doi":"https://doi.org/10.1109/ijcnn.2000.859428","title":"Optimisation on support vector machines","display_name":"Optimisation on support vector machines","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2126073238","doi":"https://doi.org/10.1109/ijcnn.2000.859428","mag":"2126073238"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2000.859428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2000.859428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium","raw_type":"proceedings-article"},"type":"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/A5065962709","display_name":"Jo\u00e3o Pedro Pedroso","orcid":"https://orcid.org/0000-0003-1298-7191"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"J.P. Pedroso","raw_affiliation_strings":["DEIO CIO, Faculdade de Ci\u00eancias, Universidade de Lisboa, Lisboa, Portugal","Fac. de Ciencias, Lisbon Univ., Portugal"],"affiliations":[{"raw_affiliation_string":"DEIO CIO, Faculdade de Ci\u00eancias, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"Fac. de Ciencias, Lisbon Univ., Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091474846","display_name":"Noboru Murata","orcid":"https://orcid.org/0000-0002-4258-6877"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"N. Murata","raw_affiliation_strings":["Riken Brain Science Institute, Wako, Saitama, Japan","Riken"],"affiliations":[{"raw_affiliation_string":"Riken Brain Science Institute, Wako, Saitama, Japan","institution_ids":["https://openalex.org/I2800939219"]},{"raw_affiliation_string":"Riken","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065962709"],"corresponding_institution_ids":["https://openalex.org/I141596103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.20076775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"404 vol.6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983000159263611,"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":0.9983000159263611,"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/T10320","display_name":"Neural Networks and Applications","score":0.9916999936103821,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9901000261306763,"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/hyperplane","display_name":"Hyperplane","score":0.7969890832901001},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6660945415496826},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.6557875871658325},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5463805198669434},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5418700575828552},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5127254724502563},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5075001120567322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4901305139064789},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4648607671260834},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4452657103538513},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4188649654388428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3880392611026764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32576704025268555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25562262535095215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19038215279579163},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.13208410143852234},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11140826344490051}],"concepts":[{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.7969890832901001},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6660945415496826},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.6557875871658325},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5463805198669434},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5418700575828552},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5127254724502563},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5075001120567322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4901305139064789},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4648607671260834},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4452657103538513},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4188649654388428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3880392611026764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32576704025268555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25562262535095215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19038215279579163},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.13208410143852234},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11140826344490051},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2000.859428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2000.859428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W1976990135","https://openalex.org/W1989164753","https://openalex.org/W2051381803","https://openalex.org/W2084812512","https://openalex.org/W2126430683","https://openalex.org/W2139212933","https://openalex.org/W2156909104"],"related_works":["https://openalex.org/W4389381704","https://openalex.org/W2944968625","https://openalex.org/W2089892314","https://openalex.org/W1964604696","https://openalex.org/W1603091392","https://openalex.org/W4386075310","https://openalex.org/W2095626363","https://openalex.org/W2169565408","https://openalex.org/W2127229869","https://openalex.org/W3123056048"],"abstract_inverted_index":{"We":[0,18,40,110,125],"deal":[1],"with":[2],"the":[3,9,44,48,64,68,89,92,95,98,106,113,122],"optimisation":[4,108],"problem":[5,96],"involved":[6],"in":[7,14,43,101],"determining":[8],"maximal":[10],"margin":[11],"separation":[12,42],"hyperplane":[13],"support":[15],"vector":[16],"machines.":[17],"consider":[19,41,112],"three":[20],"different":[21],"formulations,":[22],"based":[23],"on":[24,63],"L/sub":[25,32,36],"2/":[26],"norm":[27],"distance":[28],"(the":[29],"standard":[30,131],"case),":[31],"1/":[33],"norm,":[34],"and":[35],"/spl":[37],"infin//":[38],"norm.":[39],"original":[45],"space":[46],"of":[47,58,94,115],"data":[49,75,123],"(i.e.,":[50],"there":[51],"are":[52],"no":[53],"kernel":[54],"transformations).":[55],"For":[56],"any":[57],"these":[59],"cases,":[60],"we":[61],"focus":[62],"following":[65],"problem:":[66],"having":[67],"optimal":[69],"solution":[70,93],"for":[71,129],"a":[72,80],"given":[73,79],"training":[74,82],"set,":[76],"one":[77],"is":[78,86],"new":[81,107],"example.":[83],"The":[84],"purpose":[85],"to":[87,103],"use":[88],"information":[90],"about":[91],"without":[97],"additional":[99],"example":[100,120],"order":[102],"speed":[104],"up":[105],"problem.":[109],"also":[111],"case":[114],"re-optimisation":[116],"after":[117],"removing":[118],"an":[119],"from":[121],"set.":[124],"report":[126],"results":[127],"obtained":[128],"some":[130],"benchmark":[132],"problems.":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}