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Imbalanced distributions are ubiquitous in real-world data. They create constraints on Deep Neural Networks to represent the minority labels and avoid bias towards majority labels. The extensive body of imbalanced approaches address categorical label
Externí odkaz:
http://arxiv.org/abs/2309.06651
Publikováno v:
In Microprocessors and Microsystems July 2017 52:69-79
Autor:
Keramati, Marjan, Keramati, Mahsa
Publikováno v:
7'th International Symposium on Telecommunications (IST'2014); 2014, p883-888, 6p
Publikováno v:
2013 3nd International eConference on Computer & Knowledge Engineering (ICCKE); 2013, p178-183, 6p