Machine Learning, Neural and Statistical Classification

This free book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application.

Book Description

This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems.

Table of Contents

• 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
• Conclusions
• Knowledge Representation
• Learning to Control Dynamical Systems

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