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Handbook on Neural Information Processing: 49 (Intelligent Systems Reference Library, 49) - Softcover
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.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2015
- ISBN 10 3642429890
- ISBN 13 9783642429897
- BindingPaperback
- LanguageEnglish
- Number of pages558
- EditorBianchini Monica, Maggini Marco, Jain Lakhmi C.
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Handbook on Neural Information Processing
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Springer Berlin Heidelberg Mai 2015, 2015
ISBN 10: 3642429890
ISBN 13: 9783642429897
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 560 pp. Englisch. Seller Inventory # 9783642429897
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Handbook on Neural Information Processing
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains the latest research in the area of neural information systems and their applicationsWritten by leading expertsState-of-the-Art of the bookThis handbook presents some of the most recent topics in neural information proces. Seller Inventory # 449055980
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Handbook on Neural Information Processing
Published by
Springer Berlin Heidelberg, 2015
ISBN 10: 3642429890
ISBN 13: 9783642429897
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783642429897
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