Sentence examples for by the kernel model from inspiring English sources

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Cross-validation results show that the angular correction by the kernel model leads to a decrease of the root mean square difference between SEVIRI and MODIS daytime (night-time) LST products, from the original uncorrected values of 3.5 K (1.5 K) to 2.3 K (1.3 K).

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Finally, each model has been measured by the predictive accuracy (CCI: correctly classified instances) of the kernel model.

In contrast to non-kernel techniques, like most neural networks or decision trees, the kernel model performs its estimations based on the structure of the training set in the feature space implicitly defined by the kernel.

In this paper, we focus on the distances between a pattern x and its reconstruction results by the kernel PCA models trained from different classes.

PDY developed and implemented the new kernel model (HKMM).

Concentrating on the non-linear kernel model that produced the highest predictive correlations, i.e. the RBF kernel, PCA had a minor impact on the predictive correlations, as shown by the correlation between the predictions from RBF and RBFPCA.

There is still room for improvement by better kernel modeling and offset corrections.

The method is based on calculating uncertainty spheres for a specific confidence level obtained by kernel modelling through a weighted resampling of the point cloud.

The approach relies on a kernel model that is composed by an "emissivity kernel" and a "solar kernel", associated to observation angle anisotropy and to shadowing/sunlit effects on the surface, respectively.

CFD can also be integrated with population balance equations (PBE) to predict the DSD as long as the droplet breakage and coalescence rates could be accurately modeled by the kernel functions.

The motifs were searched by the weight function of Equation 6 (see Methods section) with the model obtained by the kernel CCA and the top ranked motifs are shown in Table 2. SWI5 motif, a binding site of SWI5 protein, has the highest weight value.

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