Handbook on Neural Information Processing

This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include:

• Deep architectures
• Recurrent, recursive, and graph neural networks
• Cellular neural networks
• Bayesian networks
• Approximation capabilities of neural networks
• Semi-supervised learning
• Statistical relational learning
• Kernel methods for structured data
• Multiple classifier systems
• Self organisation and modal learning
• Applications to content-based image retrieval, text mining in large document collections, and bioinformatics

This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.

List of contents

Neural Network Architectures.- Learning paradigms.-
Reasoning and applications.- conclusions.

Reasoning and applications.- conclusions.

Reasoning and applications.- conclusions.

Summary

This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning  Kernel methods for structured data  Multiple classifier systems  Self organisation and modal learning  Applications to content-based image retrieval, text mining in large document collections, and bioinformatics  This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.

Product details

• Assisted by: Monica Bianchini (Editor), Lakhmi C Jain (Editor), Lakhmi C. Jain (Editor), Marc Maggini (Editor), Marco Maggini (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 25.01.2013
• EAN: 9783642366567
• ISBN: 978-3-642-36656-7
• No. of pages: 538
• Dimensions: 162 mm x 242 mm x 36 mm
• Weight: 941 g
• Illustrations: XX, 538 p.
• Series: Intelligent Systems Reference Library; Intelligent Systems Reference Library
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Artificial Intelligence, engineering, Computational Intelligence, Computational Intelligence;Neural Information Processing