{"id":"https://openalex.org/W311675162","doi":"https://doi.org/10.1007/978-3-319-17142-5_32","title":"Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers","display_name":"Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W311675162","doi":"https://doi.org/10.1007/978-3-319-17142-5_32","mag":"311675162"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-17142-5_32","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-17142-5_32","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/A5113971138","display_name":"Vu Dinh","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vu Dinh","raw_affiliation_strings":["Department of Mathematics, Purdue University, West Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025885529","display_name":"Lam Si Tung Ho","orcid":"https://orcid.org/0000-0002-0453-8444"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lam Si Tung Ho","raw_affiliation_strings":["Department of Biostatistics, University of California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050413008","display_name":"Cuong Viet Nguyen","orcid":"https://orcid.org/0000-0002-6803-3488"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Nguyen Viet Cuong","raw_affiliation_strings":["Department of Computer Science, National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086171825","display_name":"Manh-Duy Nguyen","orcid":"https://orcid.org/0000-0001-6878-7039"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duy Nguyen","raw_affiliation_strings":["Department of Statistics, University of Wisconsin-Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051882105","display_name":"Binh T. Nguyen","orcid":"https://orcid.org/0000-0001-5249-9702"},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Binh T. Nguyen","raw_affiliation_strings":["Department of Computer Science, University of Science, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Science, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I23582244"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025885529"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.6828,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66268679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"375","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9969000220298767,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9958999752998352,"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":0.6776206493377686},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6183215975761414},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6158612966537476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5641920566558838},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5270153284072876},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5175394415855408},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5126129984855652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4970104992389679},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.442754864692688},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.42059656977653503},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.41768407821655273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3811919093132019},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3337629437446594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26905298233032227},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.13317668437957764},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06879362463951111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6776206493377686},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6183215975761414},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6158612966537476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641920566558838},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5270153284072876},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5175394415855408},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5126129984855652},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4970104992389679},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.442754864692688},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.42059656977653503},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.41768407821655273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3811919093132019},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3337629437446594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26905298233032227},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.13317668437957764},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06879362463951111}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-17142-5_32","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-17142-5_32","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":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1601263325","https://openalex.org/W1805361780","https://openalex.org/W1969531736","https://openalex.org/W1971110023","https://openalex.org/W1973113793","https://openalex.org/W1973856371","https://openalex.org/W1996437515","https://openalex.org/W2003585400","https://openalex.org/W2033675068","https://openalex.org/W2043919728","https://openalex.org/W2055386825","https://openalex.org/W2078750760","https://openalex.org/W2096520669","https://openalex.org/W2100484816","https://openalex.org/W2116938621","https://openalex.org/W2123991591","https://openalex.org/W2133864802","https://openalex.org/W2147303334","https://openalex.org/W2597289420","https://openalex.org/W2963217310","https://openalex.org/W2963885708","https://openalex.org/W3099978158","https://openalex.org/W3100251534","https://openalex.org/W3102293554","https://openalex.org/W3104165014","https://openalex.org/W4252260443"],"related_works":["https://openalex.org/W4389218031","https://openalex.org/W4376528628","https://openalex.org/W2470590370","https://openalex.org/W1537592868","https://openalex.org/W2215801697","https://openalex.org/W3207192536","https://openalex.org/W2910954186","https://openalex.org/W4281721362","https://openalex.org/W1748436461","https://openalex.org/W2322862995"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}