منابع مشابه
Imbalanced Class Learning in Epigenetics
In machine learning, one of the important criteria for higher classification accuracy is a balanced dataset. Datasets with a large ratio between minority and majority classes face hindrance in learning using any classifier. Datasets having a magnitude difference in number of instances between the target concept result in an imbalanced class distribution. Such datasets can range from biological ...
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The acquisition of face images is usually limited due to policy and economy considerations, and hence the number of training examples of each subject varies greatly. The problem of face recognition with imbalanced training data has drawn attention of researchers and it is desirable to understand in what circumstances imbalanced data set affects the learning outcomes, and robust methods are need...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2014
ISSN: 1066-5277,1557-8666
DOI: 10.1089/cmb.2014.0008