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Advances in Artificial Intelligence for Privacy Protection and Security
Advances in Artificial Intelligence for Privacy Protection and Security

In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas,...

Experiments in Undergraduate Mathematics: A Mathematica-Based Approach
Experiments in Undergraduate Mathematics: A Mathematica-Based Approach
All students need to master a variety of mathematical tools and concepts at the start of their university career. This distinctive book helps students learn these by doing. The approach is interactive, using experiments, performed in the symbolic algebra package Mathematica, to impart the fundamentals of many of the topics students encounter. A...
Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems)
Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems)
Artificial neural networks are, as their name indicates, computational networks which attempt to simulate, in a gross manner, the networks of nerve cell (neurons) of the biological (human or animal) central nervous system. This simulation is a gross cell-by-cell (neuron-by-neuron, element-by-element) simulation. It borrows from the...
Fuzzy Sets in Management, Economy & Marketing
Fuzzy Sets in Management, Economy & Marketing

The rapid changes that have taken place globally on the economic, social and business fronts characterized the 20th century. The magnitude of these changes has formed an extremely complex and unpredictable decision-making framework, which is difficult to model through traditional approaches. The main purpose of this book is to present the...

Free Calculus: A Liberation from Concepts and Proofs
Free Calculus: A Liberation from Concepts and Proofs
Conventional calculus is too hard and too complex. Students are forced to learn too many theorems and proofs. In Free Calculus, the author suggests a direct approach to the two fundamental concepts of calculus -- differentiation and integration -- using two inequalities. Regular calculus is condensed into a single concise chapter. This makes the...
Universal Mandelbrot Set: Beginning of the Story
Universal Mandelbrot Set: Beginning of the Story
This book is devoted to the structure of Mandelbrot set - a remarkable and important personage of the modern theoretical physics, related to chaos and fractals and simultaneously to analytical functions, Riemann surfaces and phase transitions. This makes Mandelbrot set one of the bridges connecting the worlds of chaos and order (integrability). At...
Invariant Algebras And Geometric Reasoning
Invariant Algebras And Geometric Reasoning
The demand for more reliable geometric computing in robotics, computer vision and graphics has revitalized many venerable algebraic subjects in mathematics among them, Grassmann Cayley algebra and Geometric Algebra. Nowadays, they are used as powerful languages for projective, Euclidean and other classical geometries.

This book contains the...

Mathematical Aspects Of Quantum Computing 2007 (Kinki University Series on Quantum Computing)
Mathematical Aspects Of Quantum Computing 2007 (Kinki University Series on Quantum Computing)
This volume contains lecture notes and poster contributions presented at the summer school “Mathematical Aspects of Quantum Computing”, held from 27 to 29 August, 2007 at Kinki University in Osaka, Japan. The aims of this summer school were to exchange and share ideas among researchers working in various fields of quantum computing...
Linear Regression Analysis: Theory and Computing
Linear Regression Analysis: Theory and Computing

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is...

Neural Networks and Computing: Learning Algorithms and Applications
Neural Networks and Computing: Learning Algorithms and Applications

The area of Neural computing that we shall discuss in this book represents a combination of techniques of classical optimization, statistics, and information theory. Neural network was once widely called artificial neural networks, which represented how the emerging technology was related to artificial intelligence. It once was a topic that...

Supermanifolds: Theory and Applications
Supermanifolds: Theory and Applications
A book written in a relaxed and friendly manner, that moreover, tries to appeal to both, physicists and mathematicians, by using their specific parlance at various parts. As already said, a concise, but at the same time reasonably complete, exposition of the basics of supermanifold theory. A concise but up-to-date account of some of the main...
Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)
Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)
Traditional data mining methods are designed to deal with “static” databases, i.e. databases where the ordering of records (or other database objects) has nothing to do with the patterns of interest. Though the assumption of order irrelevance may be sufficiently accurate in some applications, there are certainly many other cases, where...
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