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"I didn't even know what a regularization was".
Note, in particular, that no regularization was applied.
Bayesian regularization was used to improve the generalization of the MLP network.
Specially, Bregman iterative regularization was proposed by Osher et al. [10].
The performance of fixed parameter regularization was comparable to that of the L-curve method.
An algorithm based on Tikhonov regularization was proposed to transform the viscometry data into flow curves.
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So, regularization is needed.
No spatial regularization is applied.
This regularization is performed before any discretization.
Moreover, to get the smooth estimation, the regularization is adopted.
As the problem is ill-posed, Tikhonov regularization is used.
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