“…Finally, there are also some approaches, referred to here as hybrid ones, which combine features and properties of the abovementioned classes, e.g. by creating probabilistic models of label noise and then using this information to improve the noise-tolerance of the classifier during its training (Bouveyron & Girard, 2009;Rebbapragada & Brodley, 2007;Tabassian, Ghaderi, & Ebrahimpour, 2012a, Tabassian, Ghaderi, & Ebrahimpour, 2012bWang et al, 2012).…”