Exact upper and lower bounds on the misclassification probability
Department of Mathematical Sciences
Exact upper and lower bounds on the best possible misclassification probability for a finite number of classes are obtained in terms of the total variation norms of the differences between the sub-distributions over the classes. These bounds are compared with the exact upper and lower bounds in terms of the conditional entropy obtained by Feder and Merhav.
IEEE Transactions on Information Theory
Exact upper and lower bounds on the misclassification probability.
IEEE Transactions on Information Theory,
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/596