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portada Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49)
Type
Physical Book
Publisher
Author
Language
English
Pages
538
Format
Paperback
ISBN13
9783642429897
Edition No.
2013th

Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49)

Bianchini Monica,Maggini Marco,Jain Lakhmi C. (Author) · Springer · Paperback

Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49) - Bianchini Monica,Maggini Marco,Jain Lakhmi C.

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Synopsis "Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49)"

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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