Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis

Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis

We study the performance of Machine Learning (ML) classification techniques. Leveraging the theory of large deviations, we provide the mathematical conditions for a ML classifier to exhibit error probabilities that vanish exponentially, say <inline-formula><tex-math notation="LaTeX&quo...

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Bibliografische gegevens
Hoofdauteurs: Paolo Braca, Leonardo M. Millefiori, Augusto Aubry, Stefano Marano, Antonio De Maio, Peter Willett
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2022-01-01
Reeks:IEEE Open Journal of Signal Processing
Onderwerpen:
Machine learning
deep learning
large deviations principle
exact asymptotics
statistical hypothesis testing
Fenchel-Legendre transform
Online toegang:https://ieeexplore.ieee.org/document/10008020/

Internet

https://ieeexplore.ieee.org/document/10008020/

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