{"id":"https://openalex.org/W1501750820","doi":"https://doi.org/10.1109/ijcnn.2005.1555894","title":"Fast text categorization with min-max modular support vector machines","display_name":"Fast text categorization with min-max modular support vector machines","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1501750820","doi":"https://doi.org/10.1109/ijcnn.2005.1555894","mag":"1501750820"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555894","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5066696020","display_name":"Feng-Yao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng-Yao Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014326389","display_name":"Ke Wu","orcid":"https://orcid.org/0000-0001-9692-4221"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Wu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457332","display_name":"Hai Zhao","orcid":"https://orcid.org/0000-0002-3392-2584"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Zhao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040440605","display_name":"Bao\u2010Liang Lu","orcid":"https://orcid.org/0000-0001-8359-0058"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Liang Lu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066696020"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.7352,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90011038,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"570","last_page":"575 vol. 1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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":0.9915000200271606,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8286057710647583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7340279221534729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6818757057189941},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6403051614761353},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.636935293674469},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.6115666031837463},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5984474420547485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5292617082595825},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5280013084411621},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4638633131980896},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.45191699266433716},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.42698508501052856},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4106256365776062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4017733037471771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15446528792381287}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8286057710647583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340279221534729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6818757057189941},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6403051614761353},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.636935293674469},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.6115666031837463},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5984474420547485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5292617082595825},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5280013084411621},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4638633131980896},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.45191699266433716},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.42698508501052856},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4106256365776062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4017733037471771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15446528792381287},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555894","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1488526611","https://openalex.org/W1540550673","https://openalex.org/W2005422315","https://openalex.org/W2119821739","https://openalex.org/W2121316410","https://openalex.org/W2148603752","https://openalex.org/W2149684865","https://openalex.org/W2150102617","https://openalex.org/W2153382583","https://openalex.org/W2153962014","https://openalex.org/W4239510810","https://openalex.org/W6629152955","https://openalex.org/W6677994330","https://openalex.org/W6681875376"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W2019467317","https://openalex.org/W2165912799","https://openalex.org/W1585519779","https://openalex.org/W1965515989","https://openalex.org/W2088737283","https://openalex.org/W1999587863","https://openalex.org/W1929902734","https://openalex.org/W4250128246","https://openalex.org/W2933653026"],"abstract_inverted_index":{"The":[0,128],"min-max":[1],"modular":[2],"support":[3],"vector":[4],"machines":[5],"(M/sup":[6],"3/-SVMs)":[7],"have":[8],"been":[9],"proposed":[10,114],"for":[11],"solving":[12],"large-scale":[13],"and":[14,31,94,147,155],"complex":[15],"multiclass":[16],"classification":[17,43,54],"problems.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,79,113],"apply":[23],"the":[24,62,132,137],"M/sup":[25,39,149],"3/-SVMs":[26,150],"to":[27,60,76,124],"multilabel":[28,42,101],"text":[29],"categorization":[30],"introduce":[32],"a":[33,50,85,108,115],"new":[34,116,138],"task":[35,44,117,122,153],"decomposition":[36,118,123],"strategy":[37,119],"into":[38,49,84],"3/-SVMs.":[40],"A":[41],"can":[45,80,103],"be":[46,77,104],"split":[47],"up":[48],"set":[51,86],"of":[52,87,97],"two-class":[53,57,88],"tasks.":[55],"These":[56],"tasks":[58,72,89],"are":[59,73],"discriminate":[61],"C":[63],"class":[64,71],"from":[65],"non-C":[66],"class.":[67],"If":[68],"these":[69],"two":[70],"still":[74],"hard":[75],"learned,":[78],"further":[81],"divide":[82],"them":[83],"as":[90,92],"small":[91],"needed":[93],"fast":[95],"training":[96],"SVMs":[98,146],"on":[99,131],"massive":[100],"texts":[102],"easily":[105],"implemented":[106],"in":[107],"massively":[109],"parallel":[110],"way.":[111],"Furthermore,":[112],"called":[120],"hyperplane":[121],"improve":[125],"generalization":[126,142],"performance.":[127],"experimental":[129],"results":[130],"RC":[133],"1-v2":[134],"indicate":[135],"that":[136],"method":[139],"has":[140],"better":[141],"performance":[143],"than":[144,158],"traditional":[145,159],"previous":[148],"using":[151],"random":[152],"decomposition,":[154],"is":[156],"faster":[157],"SVMs.":[160]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
