Thinking in terms of facts and rules is perhaps one of the most common ways of approaching problem definition and problem solving both in everyday life and under more formal circumstances. The best known set of rules, the Ten Commandments have been accompanying us since the times of Moses; the Decalogue proved to be simple but...

With the roll-out of LTE, high data throughput is promised to be available to cellular users. In case you have ever wondered how high this throughput really is, this book is the right read for you: At...

Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning...

A variety of problems m machine learning and digital communication deal with complex but structured natural or artificial systems. Natural patterns mat we wish to automatically classify' are a consequence of a hierarchical causal physical process. Learning about the world m which we live requires mat we extract useful sensor)'...

This volume contains the proceedings of the 6th International Conference on Logical Aspects of Computational Linguistics 2011 (LACL 2011), held June 29- July 1, 2011 in Montpellier, France. The LACL conferences aim at providing a forum for the presentation and discussion of current research in all the formal and logical aspects of...

Bioinformatics is an emerging field in which statistical and computational techniques are used extensively to analyze and interpret biological data obtained from high-throughput genomic technologies. Genomic technologies allow us to monitor thousands of biological processes going on inside living organisms in one snapshot, and are...

Fuzzy systems and neural networks have attracted the growing interest of researchers, scientists, engineers, practitioners, and students in various scientific and engineering areas. Fuzzy sets and fuzzy logic are based on the way the brain deals with inexact information, while neural networks (or artificial neural networks) are modeled...

Cognitive spatial concepts are qualitative in nature, i.e., they are based not so much on exact quantities but on comparisons between perceived magnitudes. We develop a qualitative model for the representation of spatial knowledge (in particular, of positional information about 2-dimensional projections) that is based only on locative...