Hybrid probabilistic sampling with random subspace for imbalanced data learning
Peng Cao, Dazhe Zhao, Osmar R. Zai͏̈ane · Intelligent Data Analysis · 2014
Class imbalance is one of the challenging problems for machine learning in many real-world applications. Other issues, such as within-class imbalance and high dimensionality, can exacerbate the problem. We propose a method HPS-DRS that combines two i