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EbookBell Team
4.8
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ISBN 10: 0521717701
ISBN 13: 978-0521717700
Author: Brian D. Ripley
Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. 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.
Introduction and Examples
Statistical Decision Theory
Linear Discriminant Analysis
Flexible Discriminants
Feed-forward Neural Networks
Non-parametric Methods
Tree-structured Classifiers
Belief Networks
Unsupervised Methods
Finding Good Pattern Features
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Tags: Brian Ripley, Pattern, Recognition, Neural
