Details
Handbook on Neural Information Processing
Intelligent Systems Reference Library, Band 49
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149,79 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 12.04.2013 |
| ISBN/EAN: | 9783642366574 |
| Sprache: | englisch |
| Anzahl Seiten: | 538 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: </p><ul><li>Deep architectures </li><li>Recurrent, recursive, and graph neural networks </li><li>Cellular neural networks </li><li>Bayesian networks </li><li>Approximation capabilities of neural networks </li><li>Semi-supervised learning </li><li>Statistical relational learning </li><li> Kernel methods for structured data </li><li> Multiple classifier systems </li><li> Self organisation and modal learning </li><li> Applications to content-based image retrieval, text mining in large document collections, and bioinformatics </li></ul><p> </p><p>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.</p><p>
<p>Neural Network Architectures.- Learning paradigms.- <p>Reasoning and applications.- conclusions. </p></p><p>Reasoning and applications.- conclusions. </p><p><p>Reasoning and applications.- conclusions. </p>
<p>This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: </p><p> Deep architectures </p><p> Recurrent, recursive, and graph neural networks </p><p> Cellular neural networks </p><p> Bayesian networks </p><p> Approximation capabilities of neural networks </p><p> Semi-supervised learning </p><p> Statistical relational learning </p><p> Kernel methods for structured data </p><p> Multiple classifier systems </p><p> Self organisation and modal learning </p><p> Applications to content-based image retrieval, text mining in large document collections, and bioinformatics </p><p> </p><p>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.</p>
Contains the latest research in the area of neural information systems and their applications Written by leading experts State-of-the-Art of the book
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