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Handbook on Neural Information Processing

Produktform: Buch / Einband - flex.(Paperback)

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-642-42989-7 / 978-3642429897 / 9783642429897

Verlag: Springer Berlin

Erscheinungsdatum: 22.05.2015

Seiten: 538

Auflage: 1

Herausgegeben von Lakhmi C. Jain, Monica Bianchini, Marco Maggini

160,49 € inkl. MwSt.
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