Handbook on Neural Information Processing

Name: Handbook on Neural Information Processing
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642366567
Price: 157.63 EUR
Availability: InStock

Автор: Monica Bianchini, Marco Maggini, Lakhmi C. Jain

Език:

Корици: С твърди корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

Изпращаме след 10-13 дни

157.63 € 308.31 лв

This handbook presents some of the most recent topics in neural information processing, covering bot...

Информация за книгата

Автор

Monica Bianchini, Marco Maggini, Lakhmi C. Jain

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2013

страници

538

EAN

9783642366567

ISBN

3642366562

Enbook ID

01663149

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

974

Размери

171 x 242 x 35

Пълно описание

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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