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 ...

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 ...

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 stochastic gradient descent, one of two ...

BPF is a powerful component in the Linux kernel and the tools that make use of it are vastly varied and numerous. In this article we examine the general usefulness of BPF and guide you on a path ...

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.

Back in the early 1990s, I worked in a large telecoms research lab, as part of the Advanced Local Loop group. Our problem domain was the “last mile”—getting services to peoples’ homes. One of my ...

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.

All Linux distributions provide a wide range of network applications—from dæmons that provide a variety of services such as WWW, mail and SSH to client programs that access one or more of these ...