Graphical Kernel System - significado y definición. Qué es Graphical Kernel System
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Qué (quién) es Graphical Kernel System - definición


Graphical Kernel System         
<graphics, standard> (GKS) The widely recognised standard ANSI X3.124 for graphical input/output. GKS is worked on by the ISO/IEC group JTC1/SC24. It provides applications programmers with standard methods of creating, manipulating, and displaying or printing computer graphics on different types of computer graphics output devices. It provides an abstraction to save programmers from dealing with the detailed capabilities and interfaces of specific hardware. GKS defines a basic two-dimensional graphics system with: uniform input and output primitives; a uniform interface to and from a GKS metafile for storing and transferring graphics information. It supports a wide range of graphics output devices including such as printers, plotters, vector graphics devices, storage tubes, {refresh displays}, raster displays, and microfilm recorders. (1999-04-01)
Kernel (operating system)         
  • The [[hybrid kernel]] approach combines the speed and simpler design of a monolithic kernel with the modularity and execution safety of a microkernel
  • servers]], separate programs that assume former kernel functions, such as device drivers, GUI servers, etc.
  • A diagram of the predecessor/successor family relationship for [[Unix-like]] systems
MAIN COMPONENT OF MOST COMPUTER OPERATING SYSTEMS
Operating system/kernel; Hybrid monolithic kernel; Operating system kernel; Kernel image; No-kernel; No kernell; No kernel; Kernel (computer); Kernel computer science; Kernel (computer science); Kernel (Computer Science); OS kernel; Kernel memory; Operating system kernels; Kernel design; Nucleus (operating system)
The kernel is a computer program at the core of a computer's operating system and generally has complete control over everything in the system. It is the portion of the operating system code that is always resident in memory and facilitates interactions between hardware and software components.
Kernel method         
CLASS OF ALGORITHMS FOR PATTERN ANALYSIS
Kernel trick; Kernel machine; Kernel Method; Kernel Methods; Kernel machines; Kernel Machines; Kernel methods
In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). The general task of pattern analysis is to find and study general types of relations (for example clusters, rankings, principal components, correlations, classifications) in datasets.

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Graphical Kernel System