Sentence examples for matrix of kernels from inspiring English sources

The matrix of kernels aims to measure "distances" between genotypes.

This is because the matrix of kernels is n × n, where n is the number of animals genotyped, irrespective of the number of SNPs.

There are two key issues in the RKHS regression pertaining to the non-parametric term: choosing the matrix of kernels, and tuning the h and λ parameters.

The non-parametric term is given by K h α, where K h is a positive definite matrix of kernels, possibly dependent on a bandwidth parameter (h), and α is vector of non-parametric coefficients that are assumed to be distributed as α ~ N (0, K h − 1 σ α 2 ), with σ α 2 representing the reciprocal of a smoothing parameter (σ α 2 = λ-1).

Fig. 3 Matrix eigenvalues of principal component analysis (PCA) Fig. 4 Matrix eigenvalues of kernel principal component analysis (KPCA).

Based on the special structure of DFRST, the kernel matrix of DFRST is different from the kernel matrix of DFT.

To solve the problem, we transform each original feature vector into a 2-dimensional feature matrix by means of kernel alignment, and then propose a novel kernel-aligned multi-view canonical correlation analysis (KAMCCA) method on the basis of the feature matrices.

The kernel matrix of all instances in D is denoted by K, the kernel matrix of training instances by KS and the kernel matrix of training versus test instances by KU.

Next, we propagate the seed-kernel matrix into the full-kernel matrix of the entire image, and thus image segmentation results are obtained.

Modern CPU architectures and computational optimization methods allow for very fast matrix multiplication, thus those types of kernel matrices can be computed much faster than others.

In this paper we present GiMMiK a generator of bespoke matrix multiplication kernels for the CUDA and OpenCL platforms.