Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian...

The information in this...

This textbook covers both fundamentals and advanced topics in computer-based recognition of objects in scenes. It is intended to be both a text and a reference. Almost every chapter has a “Fundamentals” section which is pedagogically structured as a textbook, and a “Topics” section which includes extensive references...

We have used James Robergé’s laboratory manual for three years at Taylor University. The...

Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing...

Create high-quality models in no time at all with these comprehensive, full-color, techniques and tutorials from Antony Ward and David Randall. These step-by-step tutorials walk readers through the creation of a high-quality female model while teaching you the basics and principles behind 3D modeling in Silo - including modeling the face and...

Mathematical optimization is used in nearly all computer graphics applications, from computer vision to animation. This book teaches readers the core set of techniques that every computer graphics professional should understand in order to envision and expand the boundaries of what is possible in their work.

Study of this...

This book discusses mobile positioning solutions applied on top of current wireless communication networks. In addition, the authors introduce advanced and novel topics such as localization in heterogeneous and cooperative...

It is quite clear that the world is awash in all kinds of data. In fact, the sheer volume of data adds little value to human activity and choices. The key to the vast amounts of data and information available to us is to distill and organize the data into information that we can productively use. Therefore, the most desirable information is...

Over twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly updated and expanded to reflect the latest...

Syntax-Based Collocation Extraction is the first book to offer a comprehensive, up-to-date review of the theoretical and applied work on word collocations. Backed by solid theoretical results, the computational experiments described based on data in four languages provide support for the book’s basic argument for using syntax-driven...

This book is about constraint programming, an alternative approach to programming which relies on a combination of techniques that deal with reasoning and computing. It has been successfully applied in a number of fields including molecular biology, electrical engineering, operations research and numerical analysis. The central notion is that...