The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data

Errors in measurements are key to weighting the value of data, but are often neglected in machine learning (ML). We show how convolutional neural networks (CNNs) are able to learn about the context and patterns of signal and noise, leading to improvements in the performance of classification methods...

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Bibliographic Details
Main Authors: Natália V N Rodrigues, L Raul Abramo, Nina S T Hirata
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
Online Access:https://doi.org/10.1088/2632-2153/ad0285