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Handbook on Neural Information Processing

Edited by Monica Bianchini, Edited by Marco Maggini, Edited by Lakhmi C. Jain

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normal price: R 4 941.95

Price: R 4 447.95


| book 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.

| product details |



Normally shipped | Available from overseas. Delivery time is 14 - 21 days
Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published date | 22 May 2015
Language |
Format | Paperback / softback
Pages | 538
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-6424-2989-7
Readership Age |
BISAC | computers / artificial intelligence


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 7 172.95
Price | R 6 454.95 | on special |



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