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The papers in this volume are the refereed application papers presented at AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2006. The papers in this volume present new and innovative developments in the field, divided into sections on Data Mining and Bayesian Networks; Genetic Algorithms and Optimisation Techniques; Agents and Semantic Web; and Natural Language. This is the fourteenth volume in the Applications and Innovations series. The series serves as a key reference as to how AI technology has enabled organisations to solve complex problems and gain significant business benefit. The Technical Stream papers are published as a companion volume under the title Research and Development in Intelligent Systems XXIII.

Lee A. Segel, Irun R. Cohen

Lech Polkowski, Andrzej Skowron

The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.

DK Publishing

From Howard Carter's discovery of Tutankhamun in the Valley of the Kings, to the Ice Man high in the Alps, woolly mammoths in Siberia, warhorses in China, and sacrificial victims in Peru, mummies worldwide continue to hold us in their spell. e.guides Mummy peels back the layers to see inside mummies of all kinds, to understand how they were prepared, and to piece together the evidence about their cultures' beliefs in an afterlife. This brand new reference series reflects and enhances how today's young researchers gather, assess, and present information. Part of DK and Google's exciting family reference partnership, e.guides look at core topics from many angles, including facts, 3-D models, data boxes, charts, and more.

Robert A. Strangeway, Owe G. Petersen, John D. Gassert, Richard J. Lokken

Approach: Conventional Flow w/a Brief format Audience: A First semester ET/EET students Emphasis: Circuit AnalysisA Competition: Robbins/Miller (Delmar) Bundle Options: A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A EWB software (www.prenhall.com/ewb) A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A Lab Central Custom Labs (www.labcentralcustom.com)

Stefan Wermter, Ron Sun

Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.

M.M. Rao, R.J. Swift

This book is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include: - Indicating the need for abstract theory even in applications and showing the inadequacy of existing results for certain apparently simple real-world problems - Attempting to deal with the existence problems for various classes of random families that figure in the main results of the subject - Providing a treatment of conditional expectations and of conditional probabilities that is more complete than in other existing...

Nicholas T. Carnevale, Michael L. Hines

Assuming no previous knowledge of computer programming or numerical methods, The NEURON Book provides practical advice on how to get the most out of the NEURON software program. Although written primarily for neuroscientists, teachers and students, readers with a background in the physical sciences or mathematics and some knowledge about brain cells and circuits, will also find it helpful. Covering details of NEURON's inner workings, and practical considerations specifying anatomical and biophysical properties to be represented in models, this book uses a problem-solving approach that includes many examples to challenge readers.

Peter Cooper

Ruby is perhaps best known as the engine powering the hugely popular Ruby on Rails web framework. However, it is an extremely powerful and versatile programming language in its own right. It focuses on simplicity and offers a fully object-oriented environment. Beginning Ruby is a thoroughly contemporary guide for every type of reader wanting to learn Ruby, from novice programmers to web developers to Ruby newcomers. It starts by explaining the principles behind object-oriented programming and within a few chapters builds toward creating a genuine Ruby application. The book then explains key Ruby principles, such as classes and objects; projects, modules, and libraries; and other aspects of Ruby such as database access. In addition, Ruby on Rails is covered in depth, and the book's appendixes provide essential reference information as well as a primer for experienced programmers.

Book DescriptionThis book deals with key issues in the emerging interdisciplinary area involving cellular systems, computational modelling, and biologically inspired computing. This highly multidisciplinary book offers a unique blend of topical contributions that are written by biologists, computer scientists and mathematicians with non-expert readers in mind. It reflects important trends and developments in this exciting field of science. The volume can serve as a textbook and reference book for advanced students and computer scientists, biologists, and mathematicians.