Both the editors of this book were exposed to human-in-the-loop simulations while pursuing their doctoral degrees in the Center for Human-Machine Systems at Georgia Tech. In fact, S. Narayanan served as Ling Rothrock’s teaching assistant for the simulation course taught by Prof. Christine Mitchell. It has been over 15 years...

Word sense disambiguation is a core research problem in computational linguistics, which was recognized at the beginning of the scientific interest in machine translation and artificial intelligence. And yet no book has been fully devoted to review the wide variety of approaches to solving the problem. The time is right for such a...

We are all familiar with the time-honored idea of a Virtual Machine that is neutral with respect to computer architecture and can be used to execute a high-level language, after its translation to the VM byte-code. This approach can be found in several successful mono-language systems, that support popular languages such as Java or...

Computational intelligence is a fast-moving, multidisciplinary field - the nexus of diverse technical interest areas that include neural networks, fuzzy logic, and evolutionary computation. Keeping up with computational intelligence means understanding...

Speed. Aside from caffeine, nothing quickens the pulse of a programmer as much as the blazingly fast execution of a piece of code. How can we fulfill the need for computational speed? Moore’s law takes us some of the way, but multicore is the real future. To take full advantage of multicore, we need to program with concurrency...

The 11th Symposium on Trends in Functional Programming took place on the University of Oklahoma campus in Norman, Oklahoma, May 17-19, 2010. The program included presentations of 26 papers submitted by researchers from six nations and an invited talk by J. Strother Moore on machine reasoning so well received that the question/answer...

As the title of this book suggests, it is an update of the first edition of the Handbook of Natural Language Processing which was edited by Robert Dale, Hermann Moisl, and Harold Somers and published in the year 2000. The vigorous growth of new methods in Natural Language Processing (henceforth, NLP) since then, strongly suggested that...

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences...

Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow...

The story of software engineering has been the story of increasing the level of abstraction at which we as programmers work, from logic encoded in hardware to toggle switches representing binary digits, through machine code, assembly language, low-level languages, and high-level languages both procedural and functional. More recently,...

Are you a software developer? Are you interested in how build systems work? You’re reading this book; so there’s a good chance you answered “Yes” to both questions. On the other hand, many software developers aren’t interested in how their program is compiled. Most people just want to press a button and...