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Neural Network Learning: Theoretical Foundations Anthony, Martin (London School of Economics and Political Science)
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Neural Network Learning: Theoretical Foundations
Anthony, Martin (London School of Economics and Political Science)
This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.
404 pages, 29 line figures
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 20 de agosto de 2009 |
| ISBN13 | 9780521118620 |
| Editores | Cambridge University Press |
| Páginas | 404 |
| Dimensiones | 153 × 230 × 24 mm · 622 g |
| Lengua | Inglés |
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