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Kernel (operating system)

Known as: Nucleus (operating system), Kernel design, Kernel memory 
The kernel (also called nucleus) is a computer program that constitutes the central core of a computer's operating system. It has complete control… 
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Related topics

Related topics

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"Classic" Mac OSACM Computing SurveysAddress spaceApplication programming interface

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Integration by parts and its applications of a new nonlocal fractional derivative with Mittag-Leffler nonsingular kernel
In this manuscript we define the right fractional derivative and its corresponding right fractional integral for the recently… 
Highly Cited
2012
Highly Cited
2012
Multiple Kernel Fuzzy Clustering
While fuzzy c-means is a popular soft-clustering method, its effectiveness is largely limited to spherical clusters. By applying… 
Highly Cited
2011
Highly Cited
2011
Object recognition with hierarchical kernel descriptors
Kernel descriptors [1] provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level… 
Highly Cited
2010
Highly Cited
2010
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The… 
Highly Cited
2008
Highly Cited
2008
Online-updating regularized kernel matrix factorization models for large-scale recommender systems
Regularized matrix factorization models are known to generate high quality rating predictions for recommender systems. One of the… 
Highly Cited
2007
Highly Cited
2007
Face Recognition Using Kernel Ridge Regression
In this paper, we present novel ridge regression (RR) and kernel ridge regression (KRR) techniques for multivariate labels and… 
Highly Cited
2001
Highly Cited
2001
Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression
In this paper, we propose the application of the Kernel Principal Component Analysis (PCA) technique for feature selection in a… 
Highly Cited
2001
Highly Cited
2001
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is… 
Highly Cited
1995
Highly Cited
1995
Local polynomial kernel regression for generalized linear models and quasi-likelihood functions
Abstract We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight… 
Highly Cited
1990
Highly Cited
1990
Scheduling support for concurrency and parallelism in the Mach operating system
The shared use of general-purpose uniprocessors is examined. Support for common uniform-memory-access architectures that have all… 
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