kernel
- noun
- /ˈkɜrnəl/
- Specialized
- Sparse-matrix vector multiplication is an important computational kernel in many iterative linear solvers (see 1, for example).
- kernel routine
- DGEMM and kernel
- kernel and neighborhood
So kernel, kernel function, extra life knowledge, kernel function.
- So kernel, kernel function, extra life knowledge, kernel function.
Examples
-
We used the quartic kernel as our weighting scheme in this study.
Academic text (2012) -
Here, we describe the implementation and performance of two key BLAS-1 kernels: the DAXPY and DDOT routines.
Academic text (1994) -
You have to declare the kernel function to be global.
-
So this shows that the kernel is closed under inverses.
-
Set H equal to the kernel of Phi.
-
We discuss the implementation of the three kernel routines later in Section 3.
Academic text (2000) -
Sparse-matrix vector multiplication is an important kernel that often runs inefficiently on superscalar RISC processors.
Academic text (1997) -
In machine learning, the kernel function helps to determine the similarity between different datasets.
-
The model's accuracy improved significantly after using a nonlinear kernel in the calculations.
-
Researchers often rely on optimization techniques to select the appropriate kernel for their algorithms.
Synonyms
A rule in math or computing that gives one output for each input
Compounds
Surface Forms
Etymology
The word kernel in math and machine learning keeps the same image: a kernel is like the 'core' or 'seed' rule that decides how similar two things are, so the name shows it is the central part that controls the comparison.