Adjusting the outputs of a classifier to new a priori probabilities may significantly improve classification accuracy: Evidence from a multi-class problem in remote sensing

Latinne, P., Saerens, M., & Decaestecker, C. (2001). Adjusting the outputs of a classifier to new a priori probabilities may significantly improve classification accuracy: Evidence from a multi-class problem in remote sensing. Proceedings of the 18th International Conference on Machine Learning, p. 298-305. https://hdl.handle.net/2078.5/36403