{"id":"https://openalex.org/W1489022936","doi":null,"title":"Randomized ensemble methods for classification trees","display_name":"Randomized ensemble methods for classification trees","publication_year":2002,"publication_date":"2002-09-01","ids":{"openalex":"https://openalex.org/W1489022936","mag":"1489022936"},"language":"en","primary_location":{"id":"pmh:ADA407091","doi":null,"is_oa":false,"landing_page_url":"http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA407091","pdf_url":null,"source":{"id":"https://openalex.org/S4406923043","display_name":"Defense Technical Information Center (DTIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DTIC AND NTIS","raw_type":"Text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5076151869","display_name":"Izumi. Kobayashi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Izumi. Kobayashi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5076151869"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.5605000257492065,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.5605000257492065,"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":0.15199999511241913,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.09300000220537186,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/ensemble-classifiers","display_name":"ensemble classifiers","score":0.6470000147819519},{"id":"https://openalex.org/keywords/classification-trees","display_name":"classification trees","score":0.9760000109672546},{"id":"https://openalex.org/keywords/output-perturbation","display_name":"output perturbation","score":0.9810000061988831},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.414000004529953},{"id":"https://openalex.org/keywords/bagging","display_name":"bagging","score":0.9610000252723694},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.9779999852180481},{"id":"https://openalex.org/keywords/voting-classifier","display_name":"voting classifier","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7167690992355347},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6277843117713928},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6070265769958496},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.559688925743103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5571728944778442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5228905081748962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.491041898727417},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.47785183787345886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47097089886665344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4465025067329407},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44646501541137695},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4284515082836151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34802448749542236},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3299911320209503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3040929436683655}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:ADA407091","doi":null,"is_oa":false,"landing_page_url":"http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA407091","pdf_url":null,"source":{"id":"https://openalex.org/S4406923043","display_name":"Defense Technical Information Center (DTIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DTIC AND NTIS","raw_type":"Text"},{"id":"pmh:oai:calhoun.nps.edu:10945/9801","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/10945/9801","pdf_url":null,"source":{"id":"https://openalex.org/S4306400952","display_name":"Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I35364215","host_organization_name":"Naval Postgraduate School","host_organization_lineage":["https://openalex.org/I35364215"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:1489022936","doi":null,"is_oa":false,"landing_page_url":"https://calhoun.nps.edu/bitstream/10945/9801/1/02Sep%255FKobayashi%255FPhD.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1513618424","https://openalex.org/W1580948147","https://openalex.org/W1605688901","https://openalex.org/W1975846642","https://openalex.org/W1990351156","https://openalex.org/W2001619934","https://openalex.org/W2002016471","https://openalex.org/W2024046085","https://openalex.org/W2100805904","https://openalex.org/W2117812871","https://openalex.org/W2122111042","https://openalex.org/W2152761983","https://openalex.org/W2172195373","https://openalex.org/W2799061466","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3165241807"],"related_works":["https://openalex.org/W7099364424","https://openalex.org/W2027541734","https://openalex.org/W7098739091","https://openalex.org/W7036728640","https://openalex.org/W2335925837","https://openalex.org/W2014852328","https://openalex.org/W7097882650","https://openalex.org/W2157958489","https://openalex.org/W1545633408","https://openalex.org/W1851226786"],"abstract_inverted_index":{"We":[0,37,153],"propose":[1],"two":[2],"methods":[3,82,102,180],"of":[4,7,32,48,77,142,145,159,169,177,188],"constructing":[5],"ensembles":[6],"classifiers,":[8,80],"One":[9],"method":[10,40,53,122],"directly":[11],"injects":[12],"randomness":[13],"into":[14],"classification":[15],"tree":[16],"algorithms":[17],"by":[18,73,127,184],"choosing":[19],"a":[20,35,42,59,138,170],"split":[21,36],"randomly":[22],"at":[23],"each":[24],"node":[25],"with":[26,41,85,133,163],"probabilities":[27],"proportional":[28],"to":[29,109],"the":[30,49,55,62,68,78,130,134,160,175,189],"measure":[31],"goodness":[33],"for":[34],"combine":[38],"this":[39],"stopping":[43],"rule":[44],"which":[45],"uses":[46],"permutation":[47],"outputs":[50],"The":[51,97,167],"other":[52],"perturbs":[54],"output":[56],"and":[57,88,107,111,132,136,147],"constructs":[58],"classifier":[60,70],"using":[61],"perturbed":[63],"data,":[64],"In":[65],"both":[66,129],"methods,":[67,166],"final":[69],"is":[71],"given":[72],"an":[74,150],"unweighted":[75],"vote":[76],"individual":[79],"These":[81],"are":[83],"compared":[84],"bagging,":[86,106],"Adaboost,":[87],"random":[89,112],"forests":[90,113],"on":[91,114],"thirteen":[92],"commonly":[93],"used":[94],"data":[95],"sets,":[96],"results":[98,168],"show":[99,149,173],"that":[100,119,174],"our":[101,120,164,178],"perform":[103],"better":[104],"than":[105],"comparably":[108],"Adaboost":[110],"average,":[115],"Additional":[116],"computation":[117],"shows":[118],"perturbation":[121],"could":[123,181],"improve":[124],"its":[125],"performance":[126,176],"perturbing":[128],"inputs":[131],"outputs,":[135],"combining":[137,156,185],"sufficiently":[139],"large":[140],"number":[141],"trees,":[143],"Plots":[144],"strength":[146],"correlation":[148],"interesting":[151],"relationship,":[152],"also":[154],"explore":[155],"sampling":[157,186],"subsets":[158,187],"training":[161,190],"set":[162],"proposed":[165,179],"few":[171],"trials":[172],"be":[182],"improved":[183],"set,":[191]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}