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Each community in the network is composed of smaller communities, all with a common kernel of ingredients.
Another member of the same school, Bernhard Ankermann, in 1915 16 championed the view that all totemisms, regardless of where they are found, contained a common kernel around which new characteristics are built.
An extensible multi-threading programming API is used as a common kernel language that allows runtime selection of different computing devices (GPU and CPU) and different threading interfaces (CUDA, OpenCL and OpenMP).
The parallelization of this framework is performed with objective of enforcing the less possible changes to its different solver modules and encapsulate the changes as much as possible in its common kernel.
We estimate the mode by maximization over the curve estimator, which is given as a weighted mean of the observations, including most of the common kernel estimators, such as Gasser Müller, Priestley Chao and Nadaraya Watson.
If common kernel Support Vector Machines (SVMs) are used as basic learners to construct a Real AdaBoost ensemble, the resulting ensemble can be easily compacted into a monolithic architecture by simply combining the weights that correspond to the same kernels when they appear in different learners, avoiding to increase the operation computational effort for the above potential advantage.
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Table 2 gives some of the common kernels.
Common kernels are provided, but it is also possible to specify custom kernels.
Table 1 The most common kernels Polynomial ( x T ⋅ x ′ + 1 ) p Radial basis function (Gaussians) exp { - γ x - x ′ } Sigmoid tanh k x T ⋅ x ′ - δ.
In this experiment, three common kernels (polynomial, linear, and RBF kernel) were adopted for SVM.
Four common kernels are implemented in libSVM and we chose the most commonly used and recommended, the radial basis function (RBF).
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