{"id":"https://openalex.org/W2060360262","doi":"https://doi.org/10.4304/jsw.7.4.919-926","title":"Data Dependant Learners Ensemble Pruning","display_name":"Data Dependant Learners Ensemble Pruning","publication_year":2012,"publication_date":"2012-04-27","ids":{"openalex":"https://openalex.org/W2060360262","doi":"https://doi.org/10.4304/jsw.7.4.919-926","mag":"2060360262"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.7.4.919-926","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.7.4.919-926","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5002570462","display_name":"Gang Zhang","orcid":"https://orcid.org/0000-0002-3998-4663"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Zhang","raw_affiliation_strings":["Guangdong University  of Technology"],"affiliations":[{"raw_affiliation_string":"Guangdong University  of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017205177","display_name":"Jian Yin","orcid":"https://orcid.org/0000-0002-1214-5384"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Yin","raw_affiliation_strings":["Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060602964","display_name":"HE Xiao-min","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaomin He","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032362514","display_name":"Lianglun Cheng","orcid":"https://orcid.org/0000-0002-8213-041X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianglun Cheng","raw_affiliation_strings":["Guangdong University  of Technology"],"affiliations":[{"raw_affiliation_string":"Guangdong University  of Technology","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002570462"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79855692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10637","display_name":"Advanced Clustering Algorithms Research","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/T11439","display_name":"Video Analysis and Summarization","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.9293694496154785},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6690871715545654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5342259407043457},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3717440366744995},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37077122926712036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32534196972846985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9293694496154785},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6690871715545654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5342259407043457},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3717440366744995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37077122926712036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32534196972846985},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.7.4.919-926","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.7.4.919-926","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1534477342","https://openalex.org/W1550271654","https://openalex.org/W1562197959","https://openalex.org/W1995276998","https://openalex.org/W2006721374","https://openalex.org/W2037190214","https://openalex.org/W2100128988","https://openalex.org/W2104290444","https://openalex.org/W2104664243","https://openalex.org/W2110119381","https://openalex.org/W2124951716","https://openalex.org/W2125555508","https://openalex.org/W2127082287","https://openalex.org/W2129018774","https://openalex.org/W2133288557","https://openalex.org/W2134284153","https://openalex.org/W2136595724","https://openalex.org/W2139823104","https://openalex.org/W2148029428","https://openalex.org/W2166797840","https://openalex.org/W2401715402","https://openalex.org/W2997701990","https://openalex.org/W6675747103","https://openalex.org/W6678735051","https://openalex.org/W6679322618","https://openalex.org/W6680240620"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W3107602296","https://openalex.org/W4312192474","https://openalex.org/W2033914206","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Ensemble":[0,13],"learning":[1],"aims":[2],"at":[3],"combining":[4],"several":[5],"slightly":[6],"different":[7,103,120],"learners":[8,20,61,133],"to":[9,39,57,83,100,119],"construct":[10,107],"stronger":[11],"learner.":[12],"of":[14,19,25,42,50,132,142,149,160],"a":[15,47],"well":[16,29],"selected":[17],"subset":[18],"would":[21,37],"outperform":[22],"than":[23],"ensemble":[24,34,58,131],"all.":[26],"However,":[27],"the":[28,147,158,161],"studied":[30],"accuracy":[31],"/":[32],"diversity":[33],"pruning":[35],"framework":[36],"lead":[38],"over":[40],"fit":[41],"training":[43,92],"data,":[44,68,96],"which":[45,75,123],"results":[46,124],"target":[48],"learner":[49],"relatively":[51],"low":[52],"generalization":[53,144],"ability.":[54],"We":[55,89,127],"propose":[56],"with":[59],"base":[60,87],"trained":[62,134],"by":[63,69,135],"both":[64,91,136],"labeled":[65,137],"and":[66,94,138],"unlabeled":[67,95,139],"adopting":[70],"data":[71,93,104,108,114,140,155],"dependant":[72,109],"kernel":[73],"mapping,":[74],"has":[76],"been":[77],"proved":[78],"successful":[79],"in":[80,146],"semi-supervised":[81],"learning,":[82],"get":[84],"more":[85],"generalized":[86],"learners.":[88],"bootstrap":[90],"namely":[97],"point":[98,115],"cloud,":[99],"build":[101],"slight":[102],"set,":[105],"then":[106],"kernel.":[110],"With":[111],"such":[112],"kernels":[113],"can":[116],"be":[117],"mapped":[118],"feature":[121],"space":[122],"effective":[125],"ensemble.":[126],"also":[128],"proof":[129],"that":[130],"is":[141],"better":[143],"ability":[145],"meaning":[148],"graph":[150],"Laplacian.":[151],"Experiments":[152],"on":[153],"UCI":[154],"repository":[156],"show":[157],"effectiveness":[159],"proposed":[162],"method.":[163]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
