Machine Learning, Neural and Statistical Classification

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This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods for Comparison, Review of Previous Empirical Comparisons, Dataset Descriptions and Results, Analysis of Results, Knowledge Representation, and Learning to Control Dynamical Systems

Ellis Horwood

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Added	05 Feb 2009
Updated	27 May 2009
Authors	Ellis Horwood

Each chapter can be downloaded from here

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