"The Linux Kernel Primer is the definitive guide to Linux kernel programming. The authors' unique top-down approach makes kernel programming easier to understand by systematically tracing functionality from user space into the kernel, and carefully associating kernel internals w…
Learn Linux kernel programming, hands-on : a uniquely effective top-down approach The Linux ® Kernel Primer is the definitive guide to Linux kernel programming. The authors' unique top-down approach makes kernel programming easier to understand by systematically tracing function…
Kernel methods in computational biology: Workshop entitled "Kernel Methods in Computationa…
by Max-Planck-Gesellschaft zur Förderung der Wissenschaften, Schölkopf, Bernhard, Max-Planck-Institut für Molekulare Genetik, Workshop. Kernel Methods in Computational Biology, Berlin)
fromComputational molecular biology
Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dime…
This book provides a detailed overview of current research in kernel methods and their applications to computational biology. Following three introductory chapters -- an introduction to molecular and computational biology, a short review of kernel methods that focuses on intuiti…
The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confiden…
