Sentence examples for multivariate kernels are from inspiring English sources

Note that the product kernels rather than multivariate kernels are used in (4.6) to simplify the analysis.

The two main types of string kernels are distribution-based kernels and k -mer-based kernels.

The various kernels are described next.

Modern kernel methods with complex, oligomer-based sequence kernels are very powerful for biological sequence classification.

The most often used types of kernels are linear, polynomial and the gaussian kernels.

Many of the recently introduced custom kernels are convolution kernels [ 17].

Two multiplicative gaussian kernels were used.

Separate centers of ossification (kernels) were registered.

For segregation analysis, kernels were ground individually.

Following the fast subtree kernel, a family of Weisfeiler-Lehman kernels was later designed [ 29], including the Weisfeiler-Lehman edge kernel and the Weisfeiler-Lehman shortest path kernel.

Ten kernels were collected from the center of each head and average kernel weight was determined.