—We address the problem of determining what size test set guarantees statistically significant results in a character recognition task, as a function of the expected error rate. ...
Isabelle Guyon, John Makhoul, Richard M. Schwartz,...
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
In this paper we propose a novel method of applying motion estimation techniques to human authentication by iris matching. By exploiting the inherent differences in vector fields ...
Background: The size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A...
Frank Kose, Jan Budczies, Matthias Holschneider, O...
A cross-validation error estimator is obtained by repeatedly leaving out some data points, deriving classifiers on the remaining points, computing errors for these classifiers on ...