Sentence examples for extended kernel from inspiring English sources

We call this mechanism Interactive Transparent Networking (InTraN) and we call the extended kernel InTraN-enabled.

A number of transmission kernels for individual farm-to-farm transmissions have been published for outbreaks such as that in the UK in 2001, including a historic kernel [1] limiting all transmissions to the furthest recorded in 2001 (i.e. below 60 km), and an extended kernel [12], limiting transmission to below 80 km (though this latter kernel was not designed to incorporate airborne spread).

In comparison with distributions based directly on published historic kernels [1] or extended kernels [12] the model probability distribution generates the intermediate value for transmission beyond <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0005481.e019.PNG" class= inline-graphic"/> from below 4 km up to beyond 50 km (figure 3).

The basic idea of principal angles has been extended into kernel principal angles [61] or discriminative canonical correlation [62] with promising results.

Therefore, the classification approach in Algorithm 1 can be extended to kernel version.

Hinrichs et al. [144, 145] and Zhang et al. [4] recently proposed the multi-kernel support vector machine (MK-SVM) algorithm, which is based on multi-kernel learning and extends the kernel tricks in SVM to the multiple feature spaces.

These extended ignition kernels transfer into self propagating flames even in lean mixtures.

Thus, the proposed method extends the kernel function to a multiple kernel version as shown in Equation 8.

The same holds true for filesystems, and networking protocols, and all manner of other things that get added on to the kernel by way of modules: the kernel developers need only present a consistent and stable API and ABI to allow other folks to extend the kernel functionality with new modules.

The second type focuses on extending the kernel functionalities of DBMSs to meet challenges in scientific data management.

Interestingly, the theory holds for both the case of data represented by feature vectors and the case of data simply expressed by pattern identifiers, thus extending classic kernel machines and graph regularization, respectively.