http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
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.
Incluye referencias bibliográficas (p. [355]-390) e índices.