Sentence examples for most kernel from inspiring English sources

However, most kernel learning approaches are computationally very expensive.

Most kernel people start off worrying about one particular driver or platform, and "grow" from there.

Most kernels are quite simple and consist of an easily tested, low-cost activity.

Finally, as the list of kernels in Table  1 shows, most kernels affect behaviors important to change agents.

Like most kernels, it can be used and proven on its own, or incorporated in programmatic efforts.

As one of the most popular kernel functions, the RBF kernel function is considered in this article, and it takes the following form[18, 19]: K ( x, x i ) = exp { − γ | | x − x i | | 2 }. (15).

The most popular kernel is the Gaussian kernel K x, y = exp x - y 2 σ 2 ; the width σ is a hyperparameter whose value is found by cross-validation as described below.

Furthermore, MNet constructs a composite network that is coherent to all the labels, whereas most multiple kernel learning algorithms optimize a composite kernel for each binary label, or optimize the composite kernel and the classifier in two separative objectives.

The most common kernel function is spherically symmetric Gaussian kernel:, where bandwidth h controls the variance [29].) of potential function, and assuming that there is detection between sensor nodes t and u, the particles are weighted by the reminder of(10) (12).

In most cases, kernel mapping is achieved by using the radial basis kernel function which, in theory, is able to provide an infinite order nonlinear mapping.

The most suitable kernel was searched to improve the efficiency of PCA, and the best results were achieved when a Gaussian kernel was employed.