Consistency of functional learning methods based on derivatives
Pattern Recognition Letters
| Hi-index | 754.84 |
Analogously to the rate distortion function, the error distortion function is defined for a multiple-hypothesis decision problem. The error distortion functione(d)is defined as the supremum of the Bayes' error probability for transformed observations for which the average distortion is less thand (d geq O)The main result is that the functione(d)is continuous at O.