Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as...
Targeting IT professionals, system administrators, and experienced users moving to the Windows XP platform, this book enables the user to master registry concepts and architecture, provides a historical overview of the registry, and outlines the differences between Windows 9x/ME and Windows NT/2000/XP registries. Special attention is drawn to the...
You have a Pi 2, but what exactly can you do with it? This book takes you on a tour of the Pi 2 hardware and all of the fantastic things that you can do to create innovative and useful projects with your Pi. Start with creating a workstation that does actual work, and move into installing a custom kernel, creating a clock, learning the ins...
Beginning Fedora 2 teaches you everything you need to know in order to install, configure, use, and maintain Fedora. This book targeted primarily at readers who are using (or planning to use) the Fedora Linux operating system for the first time. It offers the simple, plain-speaking guidance you need as you begin to explore the vast...
It’s been a long time since we went through the dramatic transition from Mac OS 9 to
the more complicated and graphically rich world of OS X. Many of you reading this
have never known a Mac interface that wasn’t actually OS X (pronounce that “oh-ess
ten” to sound cool). The biggest change...
Comprehensive theoretical overview of kernel smoothing methods with motivating examples
Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of...
Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included...
With the proliferation of computer programs to predict market direction, professional traders and sophisticated individual investors have increasingly turned to mathematical modeling to develop predictive systems. Kernel regression is a popular data modeling technique that can yield useful results fast.
If you're one of the many Unix developers drawn to Mac OS X for its Unix core, you'll find yourself in surprisingly unfamiliar territory. Unix and Mac OS X are kissing cousins, but there are enough pitfalls and minefields in going from one to another that even a Unix guru can stumble, and most guides to Mac OS X are written...
