Synthetic minority oversampling for function approximation problems
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22120
Abstract: Imbalanced data sets are a common occurrence in important machine learning problems. Research in improving learning under imbalanced conditions has largely focused on classification problems (ie, problems with a categorical dependent variable). However, imbalanced data… read more here.
Keywords: function approximation; approximation; approximation problems; minority oversampling ... See more keywords