… ties of kernels, with special emphasis on (conditionally) positive definite kernels and their …
We give concrete examples for such kernels and discuss kernels and reproducing kernel …

… , kernel Fisher discriminant analysis, and kernel PCA as examples for successful kernel-…
We illustrate the usefulness of kernel algorithms by finally discussing applications such as …

Efficient and stable algorithms for the calculation of spectral quantities and correlation functions
are some of the key tools in computational condensed-matter physics. In this paper basic …

The Tandem NonStop System is a fault-tolerant [1], expandable, and distributed computer
system designed expressly for online transaction processing. This paper describes the key …

… We describe how to use kernel methods for classification, re… The emphasis will be on using
RBF kernels which generate RBF … ) can be readily generated with different choices of kernel. …

… 2.6 kernel, including the CFS scheduler, preemptive kernel, block I/O layer, and I/O schedulers.
The third edition of Linux Kernel … : An all-new chapter on kernel data structures Details on …

… We introduce a kernel on the space of kernels itself, a hyperkernel (Section 3), and its …
kernel Hilbert space (Hyper-RKHS). This leads to a systematic way of parameterizing kernel …

… kernel function. This book provides uninitiated readers with a feeling for the principles,
applications, and analysis of kernel … the smoothing parameter of a kernel smoother, and also treat …

… a p-kernel and … -kernels and why some published contradictory measurements are not
evident. Furthermore, we describe some implementation techniques and illustrate why p-kernels …

… how a kernel works, you are in a better position to determine whether you need a kernel for
… are applicable to a large number of commercial kernels. My next most important goal is to …