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Intelligent Data Analysis
Intelligent Data Analysis
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.

The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of...

Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases, and programming languages to represent structure. In...
Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter...
Biomedical Image Analysis: Segmentation (Synthesis Lectures on Image, Video, & Multimedia Processing)
Biomedical Image Analysis: Segmentation (Synthesis Lectures on Image, Video, & Multimedia Processing)
The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful regions is perhaps the main roadblock in the automation of...
Uncertainty and Intelligent Information Systems
Uncertainty and Intelligent Information Systems
Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be...
Computational Intelligence in Medical Imaging: Techniques and Applications
Computational Intelligence in Medical Imaging: Techniques and Applications

CI Techniques & Algorithms for a Variety of Medical Imaging Situations

Documents recent advances and stimulates further research

A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent...

Gravity Interpretation: Fundamentals and Application of Gravity Inversion and Geological Interpretation
Gravity Interpretation: Fundamentals and Application of Gravity Inversion and Geological Interpretation
This text on gravity methods in geophysics is intended for students and earth scientists of all kinds e.g., geophysicists, geologists, and geodesists. It is structured in 7 chapters covering the basic problems and tasks: data acquisition and analysis; qualitative and quantitative geological interpretation aspects involving the basic theory of...
Advances of Soft Computing in Engineering (CISM International Centre for Mechanical Sciences)
Advances of Soft Computing in Engineering (CISM International Centre for Mechanical Sciences)

The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is...

Foundations Of Decision-Making Agents: Logic, Probability and Modality
Foundations Of Decision-Making Agents: Logic, Probability and Modality

This self-contained book provides three fundamental and generic approaches (logical, probabilistic, and modal) to representing and reasoning with agent epistemic states, specifically in the context of decision making. Each of these approaches can be applied to the construction of intelligent software agents for making decisions, thereby...

Data Analysis and Graphics Using R: An Example-Based Approach
Data Analysis and Graphics Using R: An Example-Based Approach

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from...

Computer Vision: Algorithms and Applications (Texts in Computer Science)
Computer Vision: Algorithms and Applications (Texts in Computer Science)

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the...

Super-Resolution Imaging (Digital Imaging and Computer Vision)
Super-Resolution Imaging (Digital Imaging and Computer Vision)

This book functions as the definitive overview of the field of super-resolution imaging. Written by the leading researchers in the field of image and video super-resolution, it surveys the latest state-of-the-art techniques in super-resolution imaging. Each detailed chapter provides coverage of the implementations and applications of...

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