From the Back Cover

For ease of access, the book has been cut into chapters, each one downloadable as a (gzipped) postcript file. You can donwload the files with (shift-left mouse button) or, if you have a postcript previewer, simply click on the link. Windows users may prefer zipped files which are available here. If you have problems with these formats, please let me know.

The Whole Book (gzipped PostScript - 0.73 Mb) The Whole Book (PDF format - 1.79 Mb)

Table of Contents

Chapter 1: Introduction

Chapter 2: Classification

Chapter 3: Classical Statistical Methods

Chapter 4: Modern Statistical Techniques

Chapter 5: Machine Learning of Rules and Trees

Chapter 6: Neural Networks

Chapter 7: Methods for Comparison

Chapter 8: Review of Previous Empirical Comparisons

Chapter 9: Dataset Descriptions and Results

Chapter 10: Analysis of Results

Chapter 11: Conclusions

Chapter 12: Knowledge Representation

Chapter 13: Learning to Control Dynamical Systems

Appendices, References and Index

Maintained by: charles@maths.leeds.ac.uk



This page was last updated on 16 April 1999.