Bayesian inference for inverse problems
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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