kernel


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kernel

1. the edible central part of a seed, nut, or fruit within the shell or stone
2. the grain of a cereal, esp wheat, consisting of the seed in a hard husk

Kernel

 

in mathematics, a function K(x, y) that defines the integral transformation

which transforms the function f(y) into the function ɸ(x). The theory of such transformations is connected with the theory of linear integral equations.

kernel

[′kərn·əl]
(atomic physics)
An atom that has been stripped of its valence electrons, or a positively charged nucleus lacking the outermost orbital electrons.
(botany)
The inner portion of a seed.
A whole grain or seed of a cereal plant, such as corn or barley.
(computer science)
A computer program that must be modified before it can be used on a particular computer.
The programs that form the most essential part of a computer's operating system.
(mathematics)
For any mapping ƒ from a group A to a group B, the kernel of ƒ, denoted ker ƒ, is the set of all elements a of A such that ƒ(a) equals the identity element of B.
For a homomorphism h from a group G to a group H, this consists of all elements of G which h sends to the identity element of H.
For Fredholm and Volterra integral equations, this is the function K (x, t).
For an integral transform, the function K (x, t) in the transformation which sends the function ƒ(x) to the function ∫ K (x,t)ƒ(t) dt = F (x).

kernel

(Note: NOT "kernal").

1. <operating system> The essential part of Unix or other operating systems, responsible for resource allocation, low-level hardware interfaces, security etc. See also microkernel.

2. <language> An essential subset of a programming language, in terms of which other constructs are (or could be) defined. Also known as a core language.

kernel

The nucleus of an operating system. It is the closest part to the machine level and may activate the hardware directly or interface to another software layer that drives the hardware. The kernel orchestrates the entire operation of the computer by slicing time for each system function and each application as well as managing all the computer's resources. It typically resides in memory at all times. See microkernel, monolithic kernel, kernel space and kernel panic.
References in periodicals archive ?
However, our study of row spacing, and nitrogen regimes showed strong indirect effects of kernels panicle-1on yield via kernel weight.
Multiple kernel learning(MKL)[19] is one of the most popular method to find the optimal linear combination of different kernels, and it has been applied to many machine learning methods, such as SVM[20], fisher discriminant analysis(FDA)[21] and ELM[14,15].
The Solution: Solarflare XtremeScale NICs + Onload Kernel Bypass
Lincoln International acted as financial advisor to Kernel Season's and Greenberg Traurig served as legal counsel to Kernel Season's in the transaction.
In (5), [u.sub.j] refers to the weight of kernel [K.sub.j], and M refers to the number of kernels.
To compare the prediction effect with different kernels, kernel parameter and related parameters will be optimized.
To require two datasets (for example, target data X and source data Z) to conform to similar distributions of the feature space, that is, P([phi](z)) [equivalent] P([phi](x)), requiring them to have similar kernel matrices is sufficient, that is, [K.sub.Z] [equivalent] [K.sub.X] [16].
Kernels from wild fruits are commonly consumed in the southern and central parts of Mozambique, where a variety of edible fruits can be found.
Our method focuses on the salient structure selection and the kernel estimation.
Localized multiple kernel learning (LMKL) [15-17], as a method of MKL, is an attractive method which combines multiple heterogeneous attributes according to their discriminative ability for each individual instance.
Because of this, this paper uses the mixed kernel function as the kernel function of the SVM and the 5th-degree CKF as the basic framework, adaptively adjusting the fusion coefficient, kernel parameters, and regression parameters of the mixed kernel function.
The Automatic memory dump option produces a Kernel memory dump; the difference is when you select Automatic it allows the SMSS process to reduce the page file smaller than the size of RAM.