Dynamic Ensemble Selection and Data Preprocessing for Multi-Class Imbalance Learning
نویسندگان
چکیده
منابع مشابه
On dynamic ensemble selection and data preprocessing for multi-class imbalance learning
Class-imbalance refers to classification problems in which many more instances are available for certain classes than for others. Such imbalanced datasets require special attention because traditional classifiers generally favor the majority class which has a large number of instances. Ensemble of classifiers have been reported to yield promising results. However, the majority of ensemble metho...
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ژورنال
عنوان ژورنال: International Journal of Pattern Recognition and Artificial Intelligence
سال: 2019
ISSN: 0218-0014,1793-6381
DOI: 10.1142/s0218001419400093