Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

The Linux kernel is made up of a huge number of source code, and it is necessary to load the code considerably in order to make a mistake as to where and what processing is written. "Interactive map ...

Much of modern operating system functionality happens in and around the kernel. That’s a problem when you’re implementing monitoring and observability tools or adding low-level security tools because ...

Configuration is the first step in building a kernel. There are many ways and various options to choose from. The kernel will generate a .config file at the end of the process and generate a series of ...

where K 0 (·) is a kernel function, is the bandwidth, n is the sample size, and x i is the i th observation. The KERNEL option provides three kernel functions (K 0): normal, quadratic, and triangular.

KRR is especially useful when there is limited training data, says Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step tutorial. The goal of a machine learning regression problem ...

Editor's Note: Linux remains an attractive option for embedded systems developers. In fact, industry surveys such as the Embedded Market Study by UBM (EDN's parent company) consistently show interest ...

It used to be that building the Linux kernel was not easy. Testing and debugging were even worse. Nowadays, it is reasonably easy to build a custom kernel and test or debug it using virtualization.