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Novelties include a new post-processor which reduces the need for discretization points with 50%, a new integral equation which reduces the error for resolved geometries with a factor equal to the system size, systematic use of regularization which reduces the error even further, and adaptive mesh generation based on kernel resolution.
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Additionally, PDF estimators based on kernel functions are also developed.
Phenomenological approaches to model species migration are usually based on kernel-based methods.
However, some other feature extraction methods have put forward new ways which are based on kernels.
A kernel optimization method based on fusion kernel for high-resolution range profile (HRRP) is proposed in this paper.
There are several automated reasoning programs that are based on resolution, or refinements of resolution.
Based on reproducing kernel theory, reproducing kernel functions with polynomial form will be constructed in the reproducing kernel spaces spanned by the Chebyshev basis polynomials.
To this end, we first define the local kernel alignment based on centralized kernel alignment.
Nevertheless, it is unlikely that findings based on low resolution disappear on high resolution.
Then, the MSVM is constructed based on Gauss kernel support vector machine (SVM) and polynomial kernel SVM.
Because of the uneven sampling of populations across Europe, we developed an approach based on Gaussian kernel interpolation that allows for an adaptive kernel width.
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