A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
Class imbalance and class overlap are two of the major problems in data mining and
machine learning. Several studies have shown that these data complexities may affect the
performance or behavior of artificial neural networks. Strategies proposed to face with both
challenges have been separately applied. In this paper, we introduce a hybrid method for
handling both class imbalance and class overlap simultaneously in multi-class learning
problems. Experimental results on five remote sensing data show that the combined …
machine learning. Several studies have shown that these data complexities may affect the
performance or behavior of artificial neural networks. Strategies proposed to face with both
challenges have been separately applied. In this paper, we introduce a hybrid method for
handling both class imbalance and class overlap simultaneously in multi-class learning
problems. Experimental results on five remote sensing data show that the combined …
[引用][C] A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
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