META-DES: A dynamic ensemble selection framework using meta-learning
نویسندگان
چکیده
منابع مشابه
A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers
Dynamic ensemble selection (DES) techniques work by estimating the level of competence of each classifier from a pool of classifiers. Only the most competent ones are selected to classify a given test sample. Hence, the key issue in DES is the criterion used to estimate the level of competence of the classifiers to predict the label of a given test sample. In order to perform a more robust ense...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2015
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2014.12.003