{"id":"https://openalex.org/W2756595905","doi":"https://doi.org/10.1109/iscas.2017.8050803","title":"Online multiclass passive-aggressive learning on a fixed budget","display_name":"Online multiclass passive-aggressive learning on a fixed budget","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2756595905","doi":"https://doi.org/10.1109/iscas.2017.8050803","mag":"2756595905"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2017.8050803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2017.8050803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5111984436","display_name":"Chung-Hao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hao Wu","raw_affiliation_strings":["Institute of Electronics, National Chiao Tung University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, National Chiao Tung University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075139348","display_name":"Wei-Chen Hsi","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Chen Hsi","raw_affiliation_strings":["Institute of Statistics, National Chiao Tung University, Hsinchu, TW"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics, National Chiao Tung University, Hsinchu, TW","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052673069","display_name":"Henry Horng\u2010Shing Lu","orcid":"https://orcid.org/0000-0002-4392-3361"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Henry Horng-Shing Lu","raw_affiliation_strings":["Institute of Statistics, National Chiao Tung University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics, National Chiao Tung University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033363752","display_name":"Hsueh\u2010Ming Hang","orcid":"https://orcid.org/0000-0001-8965-2619"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsueh-Ming Hang","raw_affiliation_strings":["Institute of Electronics, National Chiao Tung University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, National Chiao Tung University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4131,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72757301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9902999997138977,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9902999997138977,"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":0.9883000254631042,"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":0.9876000285148621,"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/computer-science","display_name":"Computer science","score":0.7480171918869019},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.7166039943695068},{"id":"https://openalex.org/keywords/kernelization","display_name":"Kernelization","score":0.7125873565673828},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6854208111763},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6404946446418762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.542481541633606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49469587206840515},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4583037197589874},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.43815308809280396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30446040630340576},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14975452423095703},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.08817636966705322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480171918869019},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.7166039943695068},{"id":"https://openalex.org/C207225210","wikidata":"https://www.wikidata.org/wiki/Q1759539","display_name":"Kernelization","level":3,"score":0.7125873565673828},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6854208111763},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6404946446418762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.542481541633606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49469587206840515},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4583037197589874},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.43815308809280396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30446040630340576},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14975452423095703},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.08817636966705322},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2017.8050803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2017.8050803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.550000011920929,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1506859583","https://openalex.org/W1923046654","https://openalex.org/W1966771059","https://openalex.org/W2119393863","https://openalex.org/W2130975838","https://openalex.org/W2160218441","https://openalex.org/W2169423212","https://openalex.org/W2171566706","https://openalex.org/W2408432900","https://openalex.org/W2521689864","https://openalex.org/W3003446791","https://openalex.org/W3009009611","https://openalex.org/W4250589301","https://openalex.org/W4285719527","https://openalex.org/W6640107507","https://openalex.org/W6677803693","https://openalex.org/W6683584131","https://openalex.org/W6684549341","https://openalex.org/W6684975885","https://openalex.org/W6714150371"],"related_works":["https://openalex.org/W3020640542","https://openalex.org/W2952412049","https://openalex.org/W2572248225","https://openalex.org/W1876956220","https://openalex.org/W2195225896","https://openalex.org/W3185920324","https://openalex.org/W4287073482","https://openalex.org/W2756595905","https://openalex.org/W3006977717","https://openalex.org/W4388993829"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21],"budgetary":[4,30,79],"learning":[5,16],"algorithm":[6,35,54,80],"for":[7],"online":[8],"multiclass":[9,14],"classification.":[10],"Based":[11],"on":[12,49],"the":[13,28,33,37,46,66,77],"passive-aggressive":[15],"with":[17,72,83],"kernels,":[18],"we":[19],"introduce":[20],"dual":[22],"perspective":[23],"that":[24,76],"gives":[25],"rise":[26],"to":[27],"proposed":[29,34,78],"algorithm.":[31],"Basically,":[32],"limits":[36],"amount":[38],"of":[39,68],"data":[40,48],"in":[41],"use":[42],"and":[43,59,62],"fully":[44],"exploits":[45],"available":[47],"hand":[50],"through":[51],"optimization.":[52],"The":[53],"has":[55],"both":[56],"constant":[57],"time":[58],"space":[60],"complexities":[61],"thus":[63],"can":[64],"avoid":[65],"curse":[67],"kernelization.":[69],"Experimental":[70],"results":[71],"open":[73],"datasets":[74],"show":[75],"is":[81],"competitive":[82],"state-of-the-art":[84],"algorithms.":[85]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
