The specific type of kernel regression presented in this article is Nadaraya-Watson kernel regression using a radial basis function kernel. The term "kernel regression" by itself is ambiguous because ...

Peering into the human brain has never been easy. For decades, neuroscientists have relied on heavy, expensive machines to measure blood flow and oxygen levels that reveal how the brain works.

The core idea of quantum kernel learning lies in using quantum computers to compute specific kernel functions that classical computers cannot efficiently calculate due to computational complexity.

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.… ...

Elastic has found no evidence of a vulnerability leading to RCE after details and PoC of a Defend EDR bypass were published online.

The fuzzy kernel function clustering algorithm based on semi-supervised learning is used to extract the features of ocean remote sensing and classify marine remote sensing images.

Netflix's technical blog posted about how eBPF , which extends Linux kernel functions, can be used to improve performance. Noisy Neighbor Detection with eBPF | by Netflix Technology Blog | Sep ...

H.M. SRIVASTAVA, R.K. SAXENA, SOME VOLTERRA-TYPE FRACTIONAL INTEGRO-DIFFERENTIAL EQUATIONS WITH A MULTIVARIABLE CONFLUENT HYPERGEOMETRIC FUNCTION AS THEIR KERNEL, The Journal of Integral Equations and ...