Handbook on Neural Information Processing

Bianchini, Monica (Edited by)/ Maggini, Marco (Edited by)/ Jain, Lakhmi C. (Edited by)

ISBN 10: 3642366562 / ISBN 13: 9783642366567

Editore: Springer, 2013

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2013 edition. 558 pages. 9.25x6.10x1.34 inches. In Stock.

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Dati bibliografici

• Titolo: Handbook on Neural Information Processing
• Editore: Springer
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 3642366562
• ISBN 13: 9783642366567
• Rilegatura: Hardcover
• Condizione: Brand New

Descrizione articolo

Riassunto

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.