Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

Two data analytic research areas—"penalized splines and reproducing kernel methods"—have become very vibrant since the mid-1990s. This article shows how the former can be embedded in the latter via ...

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 ...