Abstract
- In this paper, we present an approach how reject options are integrated into Classification-by-Component networks. Classification-by-Component networks are relatively accurate classifiers that offer a fair interpretability. Yet, their performance can be increased by allowing rejection of an uncertain classification. We will modify the original Classification-by-Component model so that the adaptive parameters adapt, taking reject options into account.