Learn IT - Books tags algorithms

Soft Computing for Recognition based on Biometrics (Studies in Computational Intelligence)

Springer, 2010

We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks,...

Real-Time Systems: Scheduling, Analysis, and Verification

John Wiley & Sons, 2002

This text is based on two rich sources: (1) materials in lecture notes I taught to senior and graduate-level computer science and electrical engineering students at Rice University and at the University of Houston, and (2) my research in the area of timing analysis and verification of real-time systems since the late 1980s,...

Model-based Health Monitoring of Hybrid Systems

Springer, 2013

This book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosis\prognosis and hybrid bond graph modeling. This book also describes...

Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library)

Springer, 2013

"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.

Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the...

Computational Geometry: Algorithms and Applications, Second Edition

Springer, 2000

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational...

Geometric Folding Algorithms: Linkages, Origami, Polyhedra

Cambridge University Press, 2007

How can linkages, pieces of paper, and polyhedra be folded? The authors present hundreds of results and over 60 unsolved 'open problems' in this comprehensive look at the mathematics of folding, with an emphasis on algorithmic or computational aspects. Folding and unfolding problems have been implicit since Albrecht Dürer in the...

Soft Computing in Data Science: 4th International Conference, SCDS 2018, Bangkok, Thailand, August 15-16, 2018, Proceedings (Communications in Computer and Information Science)

Springer, 2018

We are pleased to present the proceeding of the 4th International Conference on Soft Computing in Data Science 2018 (SCDS 2018). SCDS 2018 was held in Chulalongkorn University, in Bangkok, Thailand, during August 15–16, 2018. The theme of the conference was “Science in Analytics: Harnessing Data and...

Financial Instrument Pricing Using C++ (The Wiley Finance Series)

John Wiley & Sons, 2004

The goal of this book is to model financial instruments, such as options, bonds and interest-rate products by partial differential equations, finite differences and C++. It is intended for IT and quantitative finance professionals who know this material and wish to deepen their knowledge and for those readers who use...

The Variational Bayes Method in Signal Processing

Springer, 2005

This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing...

Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques

Idea Group Publishing, 2006

Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of areas, including: engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement...

An Introduction to Knowledge Engineering

Springer, 2006

An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such technologies as expert systems, neural...

Patterns in Network Architecture: A Return to Fundamentals

Prentice Hall, 2008

Groundbreaking Patterns for Building Simpler, More Powerful Networks

In Patterns in Network Architecture, pioneer John Day takes a unique approach to solving the problem of network architecture. Piercing the fog of history, he bridges the gap between our experience from the...

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