A one-class classification decision tree based on kernel density estimation
نویسندگان
چکیده
منابع مشابه
Retrofitting Decision Tree Classifiers Using Kernel Density Estimation
A ]IOVC1 mdl)d for cxnnbining dccisio]l trcws a]ld kcn)d dmlsity cstlimators i s ]woposcd. Sta]ldard classification]) tmcs, or class prob al)ility trms, ]movidc piuwwisc constant estimates of class posterior ]mobabilitlics. KcrI)C1 dmlsity estimators can ])rovidc smooth ]Io]l-])alalllct]ic estimates of class probaliitics, l)ut scale ])oorly as the dilncl]sionality o f tllc ])roblcm illcrcascs. ...
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ژورنال
عنوان ژورنال: Applied Soft Computing
سال: 2020
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2020.106250