Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 송종우 | - |
dc.date.accessioned | 2016-08-29T12:08:11Z | - |
dc.date.available | 2016-08-29T12:08:11Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 1226-3192 | - |
dc.identifier.other | OAK-15094 | - |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/230623 | - |
dc.description.abstract | This paper studies bias correction methods for Random Forest in regression. Random Forest is a special bagging trees that can be used in regression and classification. It is a popular method because of its high prediction accuracy. However, we find that Random Forest can have significant bias in regression at times. We propose a method to reduce the bias of Random Forest in regression using residual rotation. The real data applications show that our method can reduce the bias of Random Forest significantly. © 2015 The Korean Statistical Society. | - |
dc.language | English | - |
dc.publisher | Korean Statistical Society | - |
dc.subject | Bias correction | - |
dc.subject | Random Forest | - |
dc.subject | Regression | - |
dc.title | Bias corrections for Random Forest in regression using residual rotation | - |
dc.type | Article | - |
dc.relation.issue | 2 | - |
dc.relation.volume | 44 | - |
dc.relation.index | SCIE | - |
dc.relation.index | SCOPUS | - |
dc.relation.index | KCI | - |
dc.relation.startpage | 321 | - |
dc.relation.lastpage | 326 | - |
dc.relation.journaltitle | Journal of the Korean Statistical Society | - |
dc.identifier.doi | 10.1016/j.jkss.2015.01.003 | - |
dc.identifier.wosid | WOS:000355364000014 | - |
dc.identifier.scopusid | 2-s2.0-84947495918 | - |
dc.author.google | Song | - |
dc.author.google | J. | - |
dc.contributor.scopusid | 송종우(24172121500) | - |
dc.date.modifydate | 20210929143810 | - |