Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as...

This book is meant for research scholars, scientists and practitioners involved with the application of computer-based systems in critical applications. Ensuring dependability of systems used in critical applications is important due to the impact of their failures on human life, investment and environment. The individual aspects of...

This book is an introduction to modern ideas in cryptology and how to employ these ideas. It includes the relevant material on number theory, probability, and abstract algebra, in addition to descriptions of ideas about algorithms and com plexity theory. Three somewhat different terms appear in the discussion of secure communications...

• Learn design guidelines that show how to deploy server farms in highly available and scalable environments
• Plan site performance capacity with discussions of server farm architectures and their real-life...

The history of shells goes back some 30 years. In the early...

A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or...

This book provides a foundation in digital design for students in computer engineering, electrical engineering and computer science courses. It deals with digital design as an activity in a larger systems design context. Instead of focusing on gate-level design and aspects of digital design that have diminishing relevance in a...

In the last decade there has been a growing interest in the research and software industry communities toward techniques, methods and tools that allow one to manage system performance concerns in the software developer domain. Poor performance can often be the cause of software project failure, and the need to address performance...

In From Computer to Brain: Foundations of Computational Neuroscience, William Lytton provides a gentle but rigorous introduction to the art of modeling neurons and neural systems. It is an accessible entry to the methods and approaches used to model the brain at many dierent levels, ranging from synapses and dendrites to neurons and...

In my position at IBM, I regularly brief executives, managers, and computer professionals on data mining and neural network technology. In my briefings, I cover the fundamentals of data mining and neural networks, and I also discuss specific applications relevant to the customers' businesses. Since time is usually limited, my goal...