Deep Gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer’s diseases

DOI10.15517/rmta.v29i2.48885OpenAlexW4283833215MaRDI QIDQ5042087

Krishna Román, Rigoberto Fonseca-Delgado, Andy Cumbicus, Saba Infante

Publication date: 18 October 2022

Published in: Revista de Matemática: Teoría y Aplicaciones (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15517/rmta.v29i2.48885

zbMATH Keywords

Alzheimer diseaseelectroencephalogramdeep Gaussian process

Mathematics Subject Classification ID

Gaussian processes (60G15) Artificial neural networks and deep learning (68T07) Biomedical imaging and signal processing (92C55) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35)

Cites Work

• Bayesian learning for neural networks
• Deep state-space Gaussian processes
• Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks
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