Can I read Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49) on EtoBox?

Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49) by Bianchini, Monica & Maggini, Marco & Jain, Lakhmi C. is a nonfiction available to read on EtoBox.

What is Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49) about?

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. ** From the Back Cover 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 le

Who reads Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49)?

Author

Bianchini, Monica & Maggini, Marco & Jain, Lakhmi C.

Publisher

Springer Berlin Heidelberg : Imprint: Springer

Published

2013

Language

EN

ISBN

9783642429897

Category

nonfiction

Subjects

Computer Science, Engineering, Science