"This book disseminates practical solutions to the automation of open and distance learning. It discusses computational methods, algorithms, implemented prototype systems, and applications of open and
The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft
Fifteen articles on the theory and application of adaptive database search and retrieval technologies showcase current research in the growing field of machine learning algorithms. Divided into sectio
Visitors to the velvet underground of computing are apt to encounter fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks, rough sets, and other methodologies of uncertainty. Comp
This book demonstrates the possibility of transforming machine learning algorithms into integrated commonsense reasoning processes in which inductive and deductive inferences correlate and support one
Several of the contributions in the volume review the state of the art in color techniques for image watermarking, digital audio watermarking algorithms, text watermarking, three-dimensional meshes, a
While this book is not about numerical optimization or evolutionary and swarm intelligence algorithms in general, it does provide a rough sketch of established theoretical analyses and their impact on
The 13 chapters in this collection survey current work in storing and analyzing data and using algorithms to search and discover new knowledge automatically from multidimensional data sets. Several co
Wang (U. of Surrey, the UK) has edited 19 chapters on all aspects of machine audition, written by engineers at universities throughout Europe, Canada, and the US. The chapters are written as practical
Sharfrir and Etkind explore those parts of a universal digital library containing documents that communicate knowledge with controlled vocabularies of sub-languages mostly in the various disciplin
Computer scientists and electrical engineers present a reference on designing secure wireless networks in the context of current network and security technologies. Their topics include a framework
Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational techniques for solving several
This work consists of 12 chapters by international researchers and practitioners in computer science and software engineering. The book opens with a survey of applications of evolutionary and bio-insp
This collection presents several design approaches to technology enhanced learning based on interactive behavior, cognitive theories, and affective characteristics. The 15 chapters discuss the transit
Intended to bridge the gap between the database and machine learning communities, this guide gathers theoretical and experimental contributions on fuzziness, scalability, and the use of fuzzy methods
This compilation for academicians, researchers, and practitioners examines the fast growing area of wireless sensor networks and localization techniques, and explains fundamental theories underpinning
More and more people today are making virtual friends, people from all over the world whom they know only through the Internet. Romm-Livermore, a professor at Wayne State University and Setzekorn, a f
Computer and information scientists and electrical engineers review recent developments in soft computing, a collection of imprecision-tolerant techniques that can deal with uncertainty, partial t
