Your English writing platform
Free sign upExact(18)
The SV-USN model is clearly dominated by the regularization above SH degree 10.
end{cases} By the regularization theory of elliptic equations we get (theta^{0}in C^{2}).
Every sub-problem is solved by the regularization of one or several local scenarios.
This is partially due to the higher truncation SH degree, but is also enhanced by the regularization process.
But by the regularization method, there are a few papers with strict theoretical analysis on identifying the unknown source.
This property has a close relation to the use of topological degree in eigenvalue theory by the regularization method.
Similar(41)
We have tested 15 tuning methods on the case studies by comparing the regularization parameter selected by each tuning method with the optimal regularization parameter which minimizes the prediction error (i.e. the one with the best bias-variance trade-off).
This model was obtained by modifying the regularization term mostly known as the Dirichlet regularization term given by ∫ Ω | ∇ u ( x ) | 2 d x, (9).
Therefore, this sparsity on the phase errors is incorporated into the problem by using the regularization term ∥β−1∥1.
We force any inversion model to be isotropic by setting the regularization parameter for anisotropy to a value of 106.
Second, we apply a refinement of the Multi-Task Sparse Learning (MTSL) framework to exploit the relationships among multiple shared tasks generated by changing the regularization parameter during the recognition stage.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com