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Learning Classifier Systems: From Foundations to Applications
Learning Classifier Systems: From Foundations to Applications

Learning classi er systems are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal di erence learning.

From the beginning, classi er systems have attracted...

Discrete Mathematics (4th Edition)
Discrete Mathematics (4th Edition)

Today an increasing proportion of the applications of mathematics involves discrete rather than continuous models. The main reason for this trend is the integration of the computer into more and more of modem society. This book is intended for a one-semester introductory course in discrete mathematics.

Prerequisites Even though a...

Real World Instrumentation with Python: Automated Data Acquisition and Control Systems
Real World Instrumentation with Python: Automated Data Acquisition and Control Systems

This is a book about automated instrumentation, and the automated control systems used with automated instrumentation. We will look at how to use the Python programming language to quickly and easily implement automated instrumentation and control systems.

Automated instrumentation can be found in a wide variety of settings,...

Server-side GPS and Assisted-GPS in Java (Artech House Gnss Technologies and Applications)
Server-side GPS and Assisted-GPS in Java (Artech House Gnss Technologies and Applications)

Assisted-GNSS is an interesting field to work in at present. Demand for accurate location is increasing and new satellites and signals are coming online through the GPS modernization program and the emergence of new GNSSs.

This book is a practical exploration of A-GNSS with particular focus on A-GPS. It provides some theoretical...

Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)
Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)

Modeling problems in this book are addressed mainly from the computational viewpoint. The primary concerns are how to define an objective function for the optimal solution to a image analysis or computer vision problem and how to find the optimal solution. The solution is defined in an optimization sense because the perfect solution is...

Geometric Computing: for Wavelet Transforms, Robot Vision, Learning, Control and Action
Geometric Computing: for Wavelet Transforms, Robot Vision, Learning, Control and Action

Geometric algebra (GA) is a powerful new mathematical system for computational geometry. Although its origins can be traced back to Hermann Grassmann (1844), its development as a language for space–time geometry with applications to all of physics did not begin until 1966. Suddenly, in the year 2000 it was recognized that a specialized...

Pairing-Based Cryptography - Pairing 2010: 4th International Conference
Pairing-Based Cryptography - Pairing 2010: 4th International Conference

This book constitutes the refereed proceedings of the 4th International Conference on Pairing-Based Cryptography, Pairing 2010, held in Yamanaka Hot Spring, Japan, in December 2010. The 25 full papers presented were carefully reviewed and selected from 64 submissions. The contributions are organized in topical sections on: efficient software...

Knowledge-Free and Learning-Based Methods in Intelligent Game Playing
Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

The book is focused on the developments and prospective challenging problems in the area of mind game playing (i.e. playing games that require mental skills) using Computational Intelligence (CI) methods, mainly neural networks, genetic/evolutionary programming and reinforcement learning. The majority of discussed game playing ideas were...

Natural Computing: 4th International Workshop on Natural Computing
Natural Computing: 4th International Workshop on Natural Computing

The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...

Matrices and Matroids for Systems Analysis (Algorithms and Combinatorics)
Matrices and Matroids for Systems Analysis (Algorithms and Combinatorics)

A matroid is an abstract mathematical structure that captures combinatorial properties of matrices. This book offers a unique introduction to matroid theory, emphasizing motivations from matrix theory and applications to systems analysis.
This book serves also as a comprehensive presentation of the theory and application of mixed
...

HPC@Green IT: Green High Performance Computing Methods
HPC@Green IT: Green High Performance Computing Methods

The authors present methods to reduce computer energy consumption by means of a better usage of a specific set of resources and maximizing the efficiency of the running applications. The processor frequency is adjusted to the needs of the running job, leading to a power drop by a factor of 2 and doubling battery life time of laptops. It is...

Neural Networks in Atmospheric Remote Sensing (Artech House Remote Sensing Library)
Neural Networks in Atmospheric Remote Sensing (Artech House Remote Sensing Library)

A neural network refers to interconnecting artificial neurons that mimic the properties of biological neurons to perform sophisticated, intelligent tasks. This authoritative reference offers a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical...

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