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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Handbook on Neural Information Processing
• Autor: Monica Bianchini, Marco Maggini, Lakhmi C. Jain
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 538
• EAN: 9783642366567
• ISBN: 3642366562
• ID: 01663149
• Nakladatelství: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnost: 974 g
• Rozměry: 242 × 171 × 35 mm
• Datum vydání: 12. April 2013

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