Handbook on Neural Information Processing - Couverture souple

Couverture souple

ISBN 10 : 3642429890 ISBN 13 : 9783642429897

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2015

Synopsis

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.

Détails de l'édition

• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date d'édition: 2015
• Langue: anglais
• ISBN 10: 3642429890
• ISBN 13: 9783642429897
• Reliure: Broché
• Nombre de pages: 558
• Éditeur: Bianchini Monica, Maggini Marco, Jain Lakhmi C.
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Allemagne