Handbook on Neural Information Processing

Bianchini, Monica (Edited by)/ Maggini, Marco (Edited by)/ Jain, Lakhmi C. (Edited by)

ISBN 10: 3642366562 / ISBN 13: 9783642366567

Published by Springer, 2013

About this Item

2013 edition. 558 pages. 9.25x6.10x1.34 inches. In Stock.

Seller Inventory # x-3642366562

Bibliographic Details

• Title: Handbook on Neural Information Processing
• Publisher: Springer
• Publication Date: 2013
• Language: English
• ISBN 10: 3642366562
• ISBN 13: 9783642366567
• Binding: Hardcover
• Condition: Brand New

About this title

Synopsis

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.