{"id":"https://openalex.org/W1521723576","doi":"https://doi.org/10.1007/11494683_16","title":"Half-Against-Half Multi-class Support Vector Machines","display_name":"Half-Against-Half Multi-class Support Vector Machines","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1521723576","doi":"https://doi.org/10.1007/11494683_16","mag":"1521723576"},"language":"en","primary_location":{"id":"doi:10.1007/11494683_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11494683_16","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/A5108569282","display_name":"Hansheng Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hansheng Lei","raw_affiliation_strings":["CUBS, Center for Biometrics and Sensors, Computer Science and Engineering Department, State University of New York at Buffalo, Amherst, NY, 14228, USA"],"affiliations":[{"raw_affiliation_string":"CUBS, Center for Biometrics and Sensors, Computer Science and Engineering Department, State University of New York at Buffalo, Amherst, NY, 14228, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020354604","display_name":"Venu Govindaraju","orcid":"https://orcid.org/0000-0002-5318-7409"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venu Govindaraju","raw_affiliation_strings":["CUBS, Center for Biometrics and Sensors, Computer Science and Engineering Department, State University of New York at Buffalo, Amherst, NY, 14228, USA"],"affiliations":[{"raw_affiliation_string":"CUBS, Center for Biometrics and Sensors, Computer Science and Engineering Department, State University of New York at Buffalo, Amherst, NY, 14228, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108569282"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.2382,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.94950331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"156","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955000281333923,"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":0.9955000281333923,"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/T10057","display_name":"Face and Expression Recognition","score":0.9800999760627747,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8530917763710022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775373458862305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6711159944534302},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6278988122940063},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5746719241142273},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5574618577957153},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.5567970871925354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.547213613986969},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.5402386784553528},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.5184385776519775},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49806880950927734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.466169148683548},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23334091901779175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14678514003753662}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8530917763710022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775373458862305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6711159944534302},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6278988122940063},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5746719241142273},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5574618577957153},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.5567970871925354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.547213613986969},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.5402386784553528},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.5184385776519775},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49806880950927734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.466169148683548},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23334091901779175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14678514003753662},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11494683_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11494683_16","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1494922272","https://openalex.org/W1512098439","https://openalex.org/W1604938182","https://openalex.org/W1943383135","https://openalex.org/W2087347434","https://openalex.org/W2098385475","https://openalex.org/W2124583192","https://openalex.org/W2133864802","https://openalex.org/W2148603752","https://openalex.org/W2153104898","https://openalex.org/W2153635508","https://openalex.org/W2157239837","https://openalex.org/W2157791002","https://openalex.org/W2161920802","https://openalex.org/W2172000360","https://openalex.org/W4232750680","https://openalex.org/W4237969349","https://openalex.org/W4246227092","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2363271870","https://openalex.org/W2347829948","https://openalex.org/W1972646511","https://openalex.org/W2147696015","https://openalex.org/W597801233","https://openalex.org/W2104406636","https://openalex.org/W4379620080","https://openalex.org/W2369081777","https://openalex.org/W2097224991","https://openalex.org/W2132937675"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}