Bayesian decision theory for support vector machines: Imbalance measurement and feature optimization

► In imbalanced problems, we propose a method based on assessing the interplay between various classification decisions using probability, corresponding decision costs, and optimal margin. Such a more structured model specially designs to overcome the imbalanced problems.