Effective utilization of data in inductive conformal prediction using ensembles of neural networks

Abstract

Conformal prediction is a new framework producing region predictions with a guaranteed error rate. Inductive conformal prediction (ICP) was designed to significantly reduce the computational cost associated with the original transductive online approach. The drawback of inductive conformal prediction is that it is not possible to use all data for training… (More)
DOI: 10.1109/IJCNN.2013.6706817

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Cite this paper

@article{Lfstrm2013EffectiveUO, title={Effective utilization of data in inductive conformal prediction using ensembles of neural networks}, author={Tuve L{\"o}fstr{\"o}m and Ulf Johansson and Henrik Bostr{\"o}m}, journal={The 2013 International Joint Conference on Neural Networks (IJCNN)}, year={2013}, pages={1-8} }