{"id":"https://openalex.org/W2729098382","doi":"https://doi.org/10.3390/e19070330","title":"Overfitting Reduction of Text Classification Based on AdaBELM","display_name":"Overfitting Reduction of Text Classification Based on AdaBELM","publication_year":2017,"publication_date":"2017-07-06","ids":{"openalex":"https://openalex.org/W2729098382","doi":"https://doi.org/10.3390/e19070330","mag":"2729098382"},"language":"en","primary_location":{"id":"doi:10.3390/e19070330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19070330","pdf_url":"https://www.mdpi.com/1099-4300/19/7/330/pdf?version=1499320601","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/19/7/330/pdf?version=1499320601","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052831869","display_name":"Xiaoyue Feng","orcid":"https://orcid.org/0000-0003-3954-1333"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Feng","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076665413","display_name":"Yanchun Liang","orcid":"https://orcid.org/0000-0002-1147-3968"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yanchun Liang","raw_affiliation_strings":["Department of Electric Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai 519041, China"],"affiliations":[{"raw_affiliation_string":"Department of Electric Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai 519041, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058522008","display_name":"Xiaohu Shi","orcid":"https://orcid.org/0000-0002-5115-8137"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Shi","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai 519041, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai 519041, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082428303","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0002-4809-0514"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Dong Xu","raw_affiliation_strings":["Department of Electric Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Department of Electric Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407869","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-3984-7554"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007914848","display_name":"Renchu Guan","orcid":"https://orcid.org/0000-0002-7162-7826"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Renchu Guan","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai 519041, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai 519041, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007914848"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.6512,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.87438379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"7","first_page":"330","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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":0.9973999857902527,"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":0.9850000143051147,"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/overfitting","display_name":"Overfitting","score":0.9954297542572021},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.8094860911369324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7358611822128296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7243282794952393},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6551896929740906},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.48596394062042236},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.48523998260498047},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4832237660884857},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4421547055244446},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.44062674045562744},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43833598494529724},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4239421486854553},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36114227771759033},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2034006416797638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17984488606452942},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15645423531532288},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13544955849647522}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9954297542572021},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8094860911369324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7358611822128296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243282794952393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6551896929740906},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.48596394062042236},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.48523998260498047},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4832237660884857},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4421547055244446},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.44062674045562744},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43833598494529724},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4239421486854553},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36114227771759033},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2034006416797638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17984488606452942},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15645423531532288},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13544955849647522},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/e19070330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19070330","pdf_url":"https://www.mdpi.com/1099-4300/19/7/330/pdf?version=1499320601","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:34ba0cfca0a54765afaaf98a7e060333","is_oa":true,"landing_page_url":"https://doaj.org/article/34ba0cfca0a54765afaaf98a7e060333","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 19, Iss 7, p 330 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/19/7/330/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e19070330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 19; Issue 7; Pages: 330","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e19070330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19070330","pdf_url":"https://www.mdpi.com/1099-4300/19/7/330/pdf?version=1499320601","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1608697338","display_name":null,"funder_award_id":"61373050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1658971968","display_name":null,"funder_award_id":"61602207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1974743006","display_name":null,"funder_award_id":"61572228","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G697157130","display_name":null,"funder_award_id":"61472158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2729098382.pdf","grobid_xml":"https://content.openalex.org/works/W2729098382.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1540007258","https://openalex.org/W1605688901","https://openalex.org/W1780149461","https://openalex.org/W1986278072","https://openalex.org/W1993717606","https://openalex.org/W2004670864","https://openalex.org/W2012638612","https://openalex.org/W2026131661","https://openalex.org/W2040647667","https://openalex.org/W2048178600","https://openalex.org/W2048299340","https://openalex.org/W2049797988","https://openalex.org/W2051265083","https://openalex.org/W2053463056","https://openalex.org/W2081295504","https://openalex.org/W2091825929","https://openalex.org/W2093045504","https://openalex.org/W2095705004","https://openalex.org/W2099968818","https://openalex.org/W2106525823","https://openalex.org/W2111072639","https://openalex.org/W2117331546","https://openalex.org/W2118020653","https://openalex.org/W2130378394","https://openalex.org/W2134603844","https://openalex.org/W2136602355","https://openalex.org/W2138383519","https://openalex.org/W2142827986","https://openalex.org/W2142971854","https://openalex.org/W2149684865","https://openalex.org/W2151509918","https://openalex.org/W2152761983","https://openalex.org/W2154852616","https://openalex.org/W2164598857","https://openalex.org/W2165967751","https://openalex.org/W2169658215","https://openalex.org/W2407434165","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2998768810","https://openalex.org/W3004732066","https://openalex.org/W4248437541","https://openalex.org/W6637972249","https://openalex.org/W6674330103","https://openalex.org/W6676769703"],"related_works":["https://openalex.org/W4220972140","https://openalex.org/W3161120485","https://openalex.org/W2592311268","https://openalex.org/W2376566779","https://openalex.org/W2166180245","https://openalex.org/W2052828961","https://openalex.org/W1566332026","https://openalex.org/W1521548765","https://openalex.org/W4387977367","https://openalex.org/W2141272333"],"abstract_inverted_index":{"Overfitting":[0],"is":[1,33,39],"an":[2],"important":[3],"problem":[4,75],"in":[5,27],"machine":[6,15],"learning.":[7],"Several":[8],"algorithms,":[9],"such":[10],"as":[11,55],"the":[12,35,56,69,73,96,99,110,160],"extreme":[13],"learning":[14],"(ELM),":[16],"suffer":[17],"from":[18],"this":[19,44],"issue":[20,32],"when":[21],"facing":[22],"high-dimensional":[23],"sparse":[24],"data,":[25,124],"e.g.,":[26],"text":[28,92],"classification.":[29,93],"One":[30],"common":[31],"that":[34,129],"extent":[36],"of":[37,51,58,98],"overfitting":[38,52,59,74,133],"not":[40],"well":[41],"quantified.":[42],"In":[43],"paper,":[45],"we":[46,102],"propose":[47],"a":[48,62,164],"quantitative":[49],"measure":[50],"referred":[53],"to":[54,67],"rate":[57],"(RO)":[60],"and":[61,80,114,121,134,142],"novel":[63],"model,":[64,101],"named":[65],"AdaBELM,":[66],"reduce":[68,132],"overfitting.":[70],"With":[71],"RO,":[72],"can":[76,86,131,152],"be":[77],"quantitatively":[78],"measured":[79],"identified.":[81],"The":[82],"newly":[83],"proposed":[84,161],"model":[85,162],"achieve":[87,153],"high":[88],"performance":[89],"on":[90,106,144],"multi-class":[91],"To":[94],"evaluate":[95],"generalizability":[97],"new":[100],"designed":[103],"experiments":[104],"based":[105],"three":[107,146],"datasets,":[108],"i.e.,":[109],"20":[111],"Newsgroups,":[112],"Reuters-21578,":[113],"BioMed":[115],"corpora,":[116],"which":[117],"represent":[118],"balanced,":[119],"unbalanced,":[120],"real":[122],"application":[123],"respectively.":[125],"Experiment":[126],"results":[127],"demonstrate":[128],"AdaBELM":[130],"outperform":[135],"classical":[136],"ELM,":[137],"decision":[138],"tree,":[139],"random":[140],"forests,":[141],"AdaBoost":[143],"all":[145],"text-classification":[147],"datasets;":[148],"for":[149],"example,":[150],"it":[151],"62.2%":[154],"higher":[155],"accuracy":[156],"than":[157],"ELM.":[158],"Therefore,":[159],"has":[163],"good":[165],"generalizability.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-07-14T00:00:00"}