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Depending on the kernel command line parameters, the kernel can also output its debug information over the serial interface.
where ∥ K ∥ 2 = ∫ K 2 ( x ) dx and μ 2 ( K ) = ∫ x 2 K ( x ) dx are constants depending on the kernel function, and M is the number of sample data in the subband.
Depending on the kernel type, this can be the degree of a polynomial kernel d or the width of a RBF kernel ρ.
Then, depending on the kernel choice, SVMs may have additional hyper-parameters; e.g., the polynomial kernel requires a parameter p that defines the degree of the polynomial while the RBF kernel requires the parameter τ which controls the wideness in an exponential Gaussian-like function.
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The user density ρ User depends on the kernel radius R of Equation 1.
The size of such misclassified areas depends on the kernel dimensions used for obtaining the basic textural features.
It can be observed from Eq. (2) that the performance of KDE depends on the kernel function and bandwidth.
Table 7 shows that the ranges of the threshold, and thus the spatial representations of the applicability domains, strongly depend on the kernel.
The potential of these methods, however, depends on the kernel chosen and on the neural network architecture.
However, the robustness and effectiveness of both methods highly depend on the kernel window size (decided by the parameters of α1 and α2 in Monga's method, and σ in Thirion's method) they used.
In some applications, the amount of data transferred to or from the GPU will be constant, and does not depend on the kernel size (e.g., some graph analysis kernels require the complete graph in the device memory for different sized loads).
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