You might also like

More about Handbook on Neural Information Processing

• Book details
• Synopsis
• Trending among others

You get 373 loyalty points

Book 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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Handbook on Neural Information Processing
• Author: Monica Bianchini, Marco Maggini, Lakhmi C. Jain
• Language: English
• Binding: Hardback
• Number of pages: 538
• EAN: 9783642366567
• ISBN: 3642366562
• ID: 01663149
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 974 g
• Dimensions: 242 × 171 × 35 mm
• Date of publishing: 12. April 2013

Trending among others

---

---

---