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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

Bibliographic reference Latinne, Patrice ; Saerens, Marco ; Decaestecker, Christine. 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.International Conference on Machine LearningIn: Proceedings of the 18th International Conference on Machine Learning, 2001, p. 298-305
Permanent URL http://hdl.handle.net/2078/121008