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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

par Latinne, Patrice ;Saerens, Marco ;Decaestecker, Christine
Référence Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Morgan Kaufmann, page (pp 298-305)
Publication Publié, 2001

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Titre:	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
Auteur:	Latinne, Patrice; Saerens, Marco; Decaestecker, Christine
Informations sur la publication:	Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Morgan Kaufmann, page (pp 298-305)
Statut de publication:	Publié, 2001
series:	C.E. Brodley and A. Pohoreckyj Danyluk (eds)
Sujet CREF:	Sciences de l'ingénieur
Langue:	Anglais