Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging

Inverse problems are often described as limited-data problems in which the signal of interest cannot be observed directly. Therefore, a physics-based forward model that relates the signal with the observations is typically needed. Unfortunately, unknown model parameters and imperfect forward models...

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Bibliographic Details
Main Authors: Alexandra Koulouri, Ville Rimpiläinen
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
Online Access:https://doi.org/10.1088/2632-2153/aded57
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