Kernel Data Recovery is a renowned Data Recovery Solution provider offering a varied range of software for both enterprise and home users. Since 2004 the company has been offering an array of data ...

The problem of selecting the bandwidth of a kernel regression estimator when the observed data are serially correlated is considered. The bandwidth is selected by using a version of cross-validation ...

The KDE procedure performs either univariate or bivariate kernel density estimation. Statistical density estimation involves approximating a hypothesized probability density function from observed ...

An information disclosure vulnerability in the Linux kernel can be exploited to leak data and act as a springboard for further compromise. Disclosed by Cisco Talos researchers on Tuesday, the bug is ...