Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

By putting a sandbox inside the kernel, you can add code that hooks into kernel functions without requiring any changes to the kernel itself.

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 ...

The LTP's primary goal is to provide a test suite to the Open Source community that helps to validate the reliability, robustness and stability of the Linux kernel. The suite tests kernel function and ...

Shin Kanaya, UNIFORM CONVERGENCE RATES OF KERNEL-BASED NONPARAMETRIC ESTIMATORS FOR CONTINUOUS TIME DIFFUSION PROCESSES: A DAMPING FUNCTION APPROACH, Econometric Theory, Vol. 33, No. 4 (August 2017), ...

The kernel functions 'prepare_creds' and 'commit_creds' are abused to modify process credentials, granting root privileges to specific processes.

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 ...