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 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 ...

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.

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.… ...

The idea of the classification algorithm with a nonlinear kernel is that given a quantum test state, the protocol calculates the weighted power sum of the fidelities of quantum data in quantum ...

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 ...

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 ...