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1. Introduction and examples 2. Statistical decision theory 3. Linear discriminant analysis 4. Flexible discriminants 5. Feed-forward neural networks 6. Non-parametric methods 7. Tree-structured classifiers 8. Belief networks 9. Unsupervised methods 10. Finding good pattern features Appendix: statistical sidelines Glossary References Author index Subject index.