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In this context, we analyzed three heterogeneous datasets, two microarray gene expression sets and one protein abundance set, applying a recently proposed feature selection method based on regularization.
Here, we propose a likelihood ratio type procedure based on regularization to test stochastic block models with bounded degrees.
The results illustrate that the hybrid solution is a more flexible and accurate approach than the explicit solution based on regularization, and less time consuming than the implicit solution based solely on optimization.
In this paper, to avoid a manually defined regularization parameter, and to utilize the complementary information, a novel adaptive MAP sub-pixel mapping model based on regularization curve, namely AMMSSM, is proposed for hyperspectral remote sensing imagery.
In this paper a Fourier series method based on regularization is developed both for uniform and random design when a restriction on the complexity of the curve such as additivity is considered in order to circumvent the problem.
We aim to show the contribution of analytic dimension and denoising based on regularization of coefficients depending on the local neighborhood and phase.
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Both methods are designed to be convenient for level set simulations and are introduced to replace the commonly used but inconsistent regularization technique that is solely based on a regularization parameter proportional to the mesh size.
Fig. 7 Optimal regularization parameters computed from the L-curve methodology based on various regularization matrices.
A new super-resolution model based on sparsity regularization in Bayesian framework is presented.
The proof is based on a regularization and approximation strategy designed for our time-dependent framework.
To solve the inverse problem, we propose a special iterative approach based on the regularization technique.
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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