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Handbook on Neural Information Processing
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 ...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
|
| Edición: | 1st ed. 2013. |
| Colección: | Intelligent Systems Reference Library,
49 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-642-36657-4 | ||
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| 008 | 130413s2013 gw | s |||| 0|eng d | ||
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| 024 | 7 | |a 10.1007/978-3-642-36657-4 |2 doi | |
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| 245 | 1 | 0 | |a Handbook on Neural Information Processing |h [electronic resource] / |c edited by Monica Bianchini, Marco Maggini, Lakhmi C. Jain. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2013. | |
| 300 | |a XX, 538 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 490 | 1 | |a Intelligent Systems Reference Library, |x 1868-4408 ; |v 49 | |
| 505 | 0 | |a Neural Network Architectures -- Learning paradigms -- Reasoning and applications -- conclusions. Reasoning and applications -- conclusions. Reasoning and applications -- conclusions. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 700 | 1 | |a Bianchini, Monica. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Maggini, Marco. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Jain, Lakhmi C. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642429897 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642366567 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642366581 |
| 830 | 0 | |a Intelligent Systems Reference Library, |x 1868-4408 ; |v 49 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-642-36657-4 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
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| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||