Edition: 1
Release: 2008-01-28
Publisher: Cambridge University Press
Binding: Paperback
ISBN/ASIN: 0521717701
Pattern Recognition and Neural Networks
Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. Free download Pattern Recognition and Neural Networks books collection in PDF, EPUB, FB2, MOBI, and TXT formats. He brings unifying principles to the fore, and reviews the state of the subject. Ripley also includes many examples to illustrate real problems in pattern recognition and how to overcome them.This book uses tools from statistical decision theory and computational learning theory to create a rigorous foundation for the theory of neural networks. On the theoretical side, Pattern Recognition and Neural Networks emphasizes probability and statistics. Best deals ebooks download Pattern Recognition and Neural Networks on amazon.Almost all the results have proofs that are often original. On the application side, the emphasis is on pattern recognition. Most of the examples are from real world problems. In addition to the more common types of networks, the book has chapters on decision trees and belief networks from the machine-learning field. This book is intended for use in graduate courses that teach statistics and engineering. A strong background in statistics is needed to fully appreciate the theoretical developments and proofs. However, undergraduate-level linear algebra, calculus, and probability knowledge is sufficient to follow the book. Pattern Recognition and Neural Networks with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.
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