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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| 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 |