ENGLISH

Handbook on Neural Information Processing

By Lakhmi C. Jain (eds.) , Yoshua Bengio , Monica Bianchini , Marco Maggini , Aaron Courville (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
ISBN
978-3-642-36656-7, 978-3-642-36657-4
DOI
10.1007/978-3-642-36657-4
Language
english
Format
PDF
Filesize
8 MB (8660535 bytes)
Series
Intelligent Systems Reference Library 49
Edition
1
Pages
538\546
Orientation
yes
Scanned
yes
Time added
2013-10-26 04:47:50
Computational Intelligence; Artificial Intelligenc

Description

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

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