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Neural Network Learning: Theoretical Foundations Martin Anthony, Peter L. Bartlett
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HomePage Selected Books, Book Chapters. The artificial neural networks, which represent the electrical analogue of the biological nervous systems, are gaining importance for their increasing applications in supervised (parametric) learning problems. My guess is that these patterns will not only be useful for machine learning, but also any other computational work that involves either a) processing large amounts of data, or b) algorithms that take a significant amount of time to execute. Share this I'm a bit of a freak – enterprise software team lead during the day and neural network researcher during the evening. This important work describes recent theoretical advances in the study of artificial neural networks. Neural Network Learning: Theoretical foundations, M. Ярлыки: tutorials djvu ebook hotfile epub chm filesonic rapidshare Tags:Neural Network Learning: Theoretical Foundations fileserve pdf downloads torrent book. Опубликовано 31st May пользователем Vadym Garbuzov. ALT 2011 - PDF Preprint Papers | Sciweavers . Noise," International Conference on Algorithmic Learning Theory. Ci-dessous donc la liste de mes bouquins favoris sur le sujet:A theory of learning an… Hébergé par OverBlog. Cheap This important work describes recent theoretical advances in the study of artificial neural networks.