Neural Network Learning: Theoretical Foundations by Martin Anthony, Peter L. Bartlett

Neural Network Learning: Theoretical Foundations



Download Neural Network Learning: Theoretical Foundations




Neural Network Learning: Theoretical Foundations Martin Anthony, Peter L. Bartlett ebook
Page: 404
Publisher:
Format: pdf
ISBN: 052111862X, 9780521118620


Product DescriptionThis important work describes recent theoretical advances in the study of artificial neural networks. This important work describes recent theoretical advances in the study of artificial neural networks. At the end of the day it was decided that to wrap up all the discussions and move forward into designing the “Internet of Education” conference in 2013 as the yearly flagship conference of Knowledge 4 All Foundation Ltd. Noise," International Conference on Algorithmic Learning Theory. Artificial neural networks, a biologically inspired computing methodology, have the ability to learn by imitating the learning method used in the human brain. 'The book is a useful and readable mongraph. Although this blog includes links to other Internet sites, it takes no responsibility for the content or information contained on those other sites, nor does it exert any editorial or other control over those other sites. HomePage Selected Books, Book Chapters. For beginners it is a nice introduction to the subject, for experts a valuable reference. ALT 2011 - PDF Preprint Papers | Sciweavers .