Scientific Research Publishing

Reproducing Kernel Hilbert Space Technique for Fourth-Order Singular Boundary Value Problems ()

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...
ZDNet

Kernel security now: Linux's unique method for securing code

The Linux Foundation's Greg Kroah-Hartman delivered a comprehensive talk this week on the current state and future challenges of Linux kernel security. Speaking at the Open Source Summit (OSS) Japan ...
Linux Journal

Kernel Korner - Allocating Memory in the Kernel

Unfortunately for kernel developers, allocating memory in the kernel is not as simple as allocating memory in user space. A number of factors contribute to the complication, among them: The kernel is ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using JavaScript

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...