Boosting ensembles with controlled emphasis intensity
نویسندگان
چکیده
منابع مشابه
Vote-boosting ensembles
Abstract—Vote-boosting is a sequential ensemble learning method in which individual classifiers are built on different weighted versions of the training data. To build a new classifier, the weight of each training instance is determined as a function of the disagreement rate of the current ensemble predictions for that particular instance. Experiments using the symmetric beta distribution as th...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2017
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2017.01.009