Sentence examples for set of kernel values from inspiring English sources

Such control words are presented (in hexadecimal notation) in Table 2 for the set of kernel values shown in Table 1.

However, the computational complexity of these procedures is greater than that of the 4×4 kernels, since they imply a larger and more diverse set of kernel values (see (2) and Table 1).

Harris distinguished within the total set of grammatical sentences in a particular language (for example, English) two complementary subsets: kernel sentences (the set of kernel sentences being described as the kernel of the grammar) and nonkernel sentences.

For example, in multiple kernel learning, a kernel is constructed from each view and a set of kernel coefficients are learned to obtain an optimal combined kernel matrix.

So how you can instead of one, you can mix more than one kernel, and burn one kernel out of a set of kernels, and so on.

By using all available data encoded into a set of kernels, MKL classifiers most frequently outperform a single kernel classifier constructed for one type of data.

The analysis of kernels can also help construct new interventions by putting together a set of kernels that all appear relevant and useful for new problems.

To overcome this problem de los Campos et al. (2010) proposed using a multikernel approach (named kernel averaging, KA) consisting of: (a) defining a sequence of kernels based on a set of values of h, and (b) fitting a multikernel model with as many random effects as kernels in the sequence.

The strategy termed "kernel averaging" for selecting optimal values of h within a set of candidate values was implemented using the Bayesian approach described in de los Campos et al. (2010).

area - divide the kernel values by the sum of the values.

For intermediate integration, kernel values (kernel matrix) are separately computed on each data type and the summed kernel values are used for the training of SVM.