Offering a wide range of programming examples implemented in MATLAB®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy...
Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The book is...
The key to understanding the breathtaking development of mankind lies in the ability to objectify knowledge. Just like human knowledge has undergone changes, so have the libraries in their role as treasure chambers of said knowledge. With the advent of the digital age, traditional libraries were complemented by huge collections of digital...
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...
Concurrent processes can exhibit extremely complicated behavior, and
neither informal reasoning nor testing is reliable enough to establish their
correctness. In this thesis, we develop a new technique for the verification
of parallel programs. The technique is stated in terms of axioms and inference
rules, and it is used to prove...
Visual Studio 2010 is an exciting version for the Visual Basic language, which reaches a double
digit version in Visual Basic 10. This is a phenomenal achievement for a programming language,
and it demonstrates the enormous utility that the language continues to provide, year after year.
Visual Basic has always been a premier tool for...
Current search paradigms for the Web, direct access through search engines and
navigational access via static taxonomies, have recently been strongly criticized.
A third paradigm, dynamic taxonomies or faceted search, is gaining acceptance to
the extent that it is now the de facto standard in product selection for e-commerce.
This new...
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
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...
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)'...
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...
