Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49)
ISBN 10: 3642366562 ISBN 13: 9783642366567
Published by Springer, 2013
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Used - Like New. This is a brand new book! Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Seller Inventory # Z1-B-030-01183
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.
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 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.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Handbook on Neural Information Processing (...
Publisher: Springer
Publication Date: 2013
Binding: Hardcover
Condition: Like New
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Handbook on Neural Information Processing
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Handbook on Neural Information Processing
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Buch. Condition: Neu. Handbook on Neural Information Processing | Monica Bianchini (u. a.) | Buch | xx | Englisch | 2013 | Springer | EAN 9783642366567 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 105977628
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Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49)
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Handbook on Neural Information Processing (Intelligent Systems Reference Library, 49)
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Handbook on Neural Information Processing
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ISBN 10: 3642366562
ISBN 13: 9783642366567
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Buch. 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 # 9783642366567
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Handbook on Neural Information Processing
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2013, 2013
ISBN 10: 3642366562
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Buch. Condition: Neu. 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 architecturesRecurrent, recursive, and graph neural networksCellular neural networksBayesian networksApproximation capabilities of neural networksSemi-supervised learningStatistical relational learningKernel methods for structured dataMultiple classifier systemsSelf organisation and modal learningApplications to content-based image retrieval, text mining in large document collections, and bioinformaticsThis book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 560 pp. Englisch. Seller Inventory # 9783642366567
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Handbook on Neural Information Processing
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Buch. 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 # 9783642366567
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Handbook on Neural Information Processing
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Handbook on Neural Information Processing
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Handbook on Neural Information Processing (Hardcover)
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ISBN 10: 3642366562
ISBN 13: 9783642366567
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Hardcover. Condition: new. Hardcover. 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. 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 A Kernel methods for structured data A Multiple classifier systems A Self organisation and modal learning A Applications to content-based image retrieval, text mining in large document collections, and bioinformatics A 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783642366567