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Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems †

Classical methods for inverse problems are mainly based on regularization theory, in particular those, that are based on optimization of a criterion with two parts: a data-model matching and a regularization term. Different choices for these two terms and a great number of optimization algorithms ha...

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Detalles Bibliográficos
Autor principal:	Mohammad-Djafari, Ali
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699938/ https://www.ncbi.nlm.nih.gov/pubmed/34945979 http://dx.doi.org/10.3390/e23121673

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