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- Noun

The essential part of a seed; all that is within the seed walls; the edible substance contained in the shell of a nut; hence, anything included in a shell, husk, or integument; as, the kernel of a nut. See Illust. of Endocarp.

- Noun

The central, substantial or essential part of anything; the gist; the core; as, the kernel of an argument.

- Noun

A small mass around which other matter is concreted; a nucleus; a concretion or hard lump in the flesh.

- Verb i.

To harden or ripen into kernels; to produce kernels.

- Noun

A single seed or grain; as, a kernel of corn.

More related articles

  • Kernel

    Kernel may refer to:

  • Compute kernel

    In computing, a compute kernel is a routine compiled for high throughput accelerators (such as graphics processing units (GPUs), digital signal processors (DSPs) or field-programmable gate arrays (FPGAs)), separate from but used by a main program (typically running on a central processing unit ). They are sometimes called compute shaders, sharing execution units with vertex shaders and pixel shaders on GPUs, but are not limited to execution on one class of device, or graphics APIs.

  • Markov kernel

    In probability theory, a Markov kernel (also known as a stochastic kernel or probability kernel) is a map that in the general theory of Markov processes, plays the role that the transition matrix does in the theory of Markov processes with a finite state space.

  • Corn kernel

    Corn kernels are the fruits of corn (called maize in many countries). Maize is a grain, and the kernels are used in cooking as a vegetable or a source of starch. The kernel comprise endosperm, germ, pericarp, and tip cap.

  • Embeddable Linux Kernel Subset

    The Embeddable Linux Kernel Subset (ELKS), formerly known as Linux-8086, is a Unix-like operating system kernel. It is a subset of the Linux kernel, intended for 16-bit computers with limited processor and memory resources such as machines powered by Intel 8086 and compatible microprocessors not supported by 32-bit Linux.

  • Math Kernel Library

    Intel Math Kernel Library (Intel MKL) is a library of optimized math routines for science, engineering, and financial applications. Core math functions include BLAS, LAPACK, ScaLAPACK, sparse solvers, fast Fourier transforms, and vector math. The routines in MKL are hand-optimized specifically for Intel processors.

  • Radial basis function kernel

    In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In particular, it is commonly used in support vector machine classification.

  • Kernel Fisher discriminant analysis

    In statistics, kernel Fisher discriminant analysis (KFD), also known as generalized discriminant analysis and kernel discriminant analysis, is a kernelized version of linear discriminant analysis (LDA). It is named after Ronald Fisher. Using the kernel trick, LDA is implicitly performed in a new feature space, which allows non-linear mappings to be learned.

  • Kernel random forest

    Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees. Random decision forests correct for decision trees' habit of overfitting to their training set. []

  • Open Kernel Labs

    Open Kernel Labs

    Open Kernel Labs (OK Labs) is a privately owned company that develops microkernel-based hypervisors and operating systems for embedded systems. The company was founded in 2006 by Steve Subar and Gernot Heiser as a spinout from NICTA. It is headquartered in Chicago, while research and development was located in Sydney, Australia. The company was acquired by General Dynamics in September 2012.

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