Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s11063-018-09977-1.pdf
Reference32 articles.
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4. López V, Fernández A, García S, Palade V, Herrera F (2013) An insight into classification with imbalanced data: empirical results and current trends on using data intrinsic characteristics. Inf Sci 250:113–141
5. Bhowan U, Johnston M, Zhang M, Yao X (2013) Evolving diverse ensembles using genetic programming for classification with unbalanced data. IEEE Trans Evol Comput 17(3):368–386
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