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
7 MB (7640791 bytes)
Series
Intelligent Systems Reference Library 49
Edition
1
Pages
538\546
Library
Kolxo3
Time added
2013-12-29 19:00:00
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 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.

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