Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets
نویسندگان
چکیده
منابع مشابه
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Learning with imbalanced data is one of the recent challenges in machine learning. Various solutions have been proposed in order to find a treatment for this problem, such as modifying methods or the application of a preprocessing stage. Within the preprocessing focused on balancing data, two tendencies exist: reduce the set of examples (undersampling) or replicate minority class examples (over...
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ژورنال
عنوان ژورنال: International Journal of Advances in Intelligent Informatics
سال: 2019
ISSN: 2548-3161,2442-6571
DOI: 10.26555/ijain.v5i2.350