Author : Monica Bianchini,Marco Maggini,Lakhmi C. Jain
Publisher : Springer Science & Business Media
Page : 547 pages
File Size : 52,5 Mb
Release : 2013-04-12
Category : Technology & Engineering
ISBN : 9783642366574
Handbook on Neural Information Processing by Monica Bianchini,Marco Maggini,Lakhmi C. Jain Pdf
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.