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, Cellular neural networks, Bayesian networks, Approxi...
Na minha lista:
| Autor principal: | |
|---|---|
| Outros Autores: | , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2013. |
| Colecção: | Intelligent Systems Reference Library
49 |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Handbook on Neural Information Processing, Texte imprimé, 9783642366567 • Handbook on Neural Information Processing, Texte imprimé, 9783642429897 • Handbook on Neural Information Processing, Texte imprimé, 9783642366567 • Handbook on Neural Information Processing, Texte imprimé, 9783642366581 • Handbook on Neural Information Processing, Texte imprimé, 9783642429897 • Handbook on Neural Information Processing, Texte imprimé, 9783642366567 • Handbook on Neural Information Processing, Texte imprimé, 9783642366581 |
| Resumo: | 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 |
|---|---|
| Descrição do item: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783642366574 |
| ISSN: | 1868-4408 |
| Acesso: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |