You are currently browsing 1–10 of 23 forthcoming new books in the subject of Machine Learning — sorted by publish date from upcoming books to future books.
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Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After...
To Be Published June 17th 2012 by Chapman and Hall/CRC
Series: Digital Imaging and Computer Vision
Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions...
To Be Published July 1st 2012 by CRC Press
This book introduces readers to the basic concepts, classical approaches, and the newest design, development, and applications of biometrics. It also provides a glimpse of future designs and research directions in biometrics. In addition, it discusses some latest concerns and issues in this area....
To Be Published July 30th 2012 by Pan Stanford Publishing
A thorough introduction to artificial intelligence (AI), this text provides a comprehensive and in-depth overview of the key concepts and techniques in AI. It also discusses the various areas and successes of the rational and emergent software approaches to AI. Throughout the text, theory is...
To Be Published August 12th 2012 by Chapman and Hall/CRC
This book discusses and generalizes ideas which are common for biometric modalities such as voice, face, iris, fingerprints, hand geometry/palm/veins, dynamic signature. The author distills the vast area of biometrics theory and application into a unified framework using biometric...
To Be Published October 14th 2012 by EFPL Press
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Integrating two important aspects of computer science (graph-based modeling and data mining techniques), this book provides a practical, do-it-yourself approach for extracting interesting patterns from graph data. The self-contained text requires no prerequisite knowledge of data mining and...
To Be Published October 14th 2012 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
This book introduces distributed knowledge discovery techniques, models, and architectures based on the service-oriented paradigm, which offers tools to support the process of analysis, inference, and discovery over large data repositories available in many scientific and business areas. The new...
To Be Published October 15th 2012 by Chapman and Hall/CRC
This cutting-edge reference outlines the underlying theory and principles of efficient and effective distributed pattern recognition involving one-shot learning and in-network processing for different types of applications, including multimedia retrieval systems and event detection over different...
To Be Published October 25th 2012 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and game players have been successfully explored in recent years. Providing an accessible introduction...
To Be Published November 14th 2012 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
A comprehensive reference for researchers in machine learning, data mining, and computer vision, this book presents in-depth, systematic discussions on algorithms and applications for dimensionality reduction. It covers emerging models for general dimensionality reduction in multi-label...
To Be Published November 25th 2012 by Chapman and Hall/CRC
