Handbook on Neural Information Processing
2013 ed.
Book Details
Format
Paperback / Softback
Book Series
Intelligent Systems Reference Library
ISBN-10
3642429890
ISBN-13
9783642429897
Edition
2013 ed.
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Manufacture
DE
Country of Publication
GB
Publication Date
May 22nd, 2015
Print length
538 Pages
Product Classification:
Artificial intelligenceArtificial intelligence (AI)
Ksh 23,400.00
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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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