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Monica Bianchini - Handbook on Neural Information Processing - 9783642366567 - V9783642366567
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Handbook on Neural Information Processing

€ 197.35
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Description for Handbook on Neural Information Processing Hardcover. Editor(s): Bianchini, Monica; Maggini, Marco; Jain, Prof. Lakhmi C. Series: Intelligent Systems Reference Library. Num Pages: 558 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 242 x 171 x 35. Weight in Grams: 974.

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

Format
Hardback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
499
Condition
New
Series
Intelligent Systems Reference Library
Number of Pages
538
Place of Publication
Berlin, Germany
ISBN
9783642366567
SKU
V9783642366567
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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