Bayesian inference for inverse problems

Bayesian inference for inverse problems

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For example, it is, in principle, possible to distinguish between kaolinite and dickite because from hyper-spectral images, we can ... Second paradox: in linear problems, non-linear regression methods (such as neural networks) often give an anbsp;...

Title:Bayesian inference for inverse problems
Author: Society of photo-optical instrumentation engineers
Publisher:SPIE-International Society for Optical Engineering - 1998

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