Sentence examples for in addition to the kernel from inspiring English sources
Their operators have all the benefits of that of the CF derivative in addition to the kernel being nonlocal and non-singular.
In addition to the kernel smoothing approach with discrete hazards, a formal flexible regression modelling strategy was adopted as proposed by Boracchi and colleagues [ 19].
During the training phase, this approach requires determination of the learning parameters for the SVM in addition to the kernel weights.
In addition to the Kernel smoothing approach with discrete hazards, a flexible parametric approach based on the piecewise exponential model was also adopted in order to obtain smoothed hazard estimates [ 15].
First, a number of Markov chain kernels in addition to the WF kernel can be explored, for instance, Ehrenfest kernels, hypergeometric kernels and Dirichlet-Multinomial kernels (Khare and Zhou, 2009; Zhou and Lange, 2009).
Analysis of the Markov chain shows that it can be parameterised using just two parameters in addition to the dispersal kernel.
In addition to the reconstruction kernel that modulates the image characteristics within the slices (i.e. spatial resolution, edge enhancement and noise texture), a longitudinal filter in the z-dimension is often used to optimise the resolution in the axial direction and to modify the slice sensitivity profiles.
In addition to the reconstruction kernel that modulates the image characteristics within the slices (i.e. spatial resolution, edge enhancement and noise texture), a longitudinal filter in the z-dimension is used to optimise the resolution in the z-direction and to modify the slice-sensitivity profiles.
Here, in addition to the corn kernels I wanted to use up, I stirred in some cornmeal to highlight the corn factor.
In addition to the aforementioned kernels, NAS is also composed, for instance, by the Scalar Penta-diagonal (SP), Lower Upper Gauss-Seidel (LU) and Block Tridiagonal (BT) applications with similar characteristic and distribution of collective communication.
In addition to the data source, kernel parameter optimization and feature selection are two crucial factors influencing the prediction accuracy of SVM models.
