The number of models available in neural network literature is quite large. Very often the treatment is mathematical and complex. This book provides illustrative examples in C++ that the reader can use as a basis for further experimentation. A key to learning about neural networks to appreciate their inner workings is to experiment. Neural...

This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and...

It is therefore not intended as a collection of the most recent research results, but as a practical...

• The first book to be dedicated to Time-Variant Filtering
• Provides a complete...

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Traditionally, the interplay between cancer cells and host immunity has been studied systemically. Recent studies, however, indicate that the tumor microenvironment is unique in providing both supportive and inhibitory factors that determine the fate of the tumor and its host. This volume compiles reviews on innate and adaptive immune...

• Includes coverage of HP's new Integrity Virtual Machines, Global Workload Manager, Virtualization Manager, and Capacity Advisor

• Plan, implement, and manage virtualization to drive maximum business...

This book is an introduction to health care as a complex adaptive system, a system that feeds back on itself. The first section introduces systems and complexity theory from a science, historical, epistemological, and technical perspective, describing the principles and mathematics. Subsequent sections build on the health applications of...