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 - researchr publication authors

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Patrice Latinne, Marco Saerens, Christine Decaestecker. 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. In Carla E. Brodley, Andrea Pohoreckyj Danyluk, editors, Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001. pages 298-305, Morgan Kaufmann, 2001.

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