Machine learning /

Mitchell, Tom M.

Machine learning / Tom M. Mitchell - New York : McGraw-Hill, 1997. - 414 p. : Ilustraciones ; 23 x 16 cm. - McGraw-Hill series in computer science ; .

1. Introduction -- 2. Concept Learning and the General-to-Specific Ordering -- 3. Decision Tree Learning -- 4. Artificial Neural Networks -- 5. Evaluating Hypotheses -- 6. Bayesian Learning -- 7. Computational Learning Theory -- 8. Instance-Based Learning -- 9. Genetic Algorithms -- 10. Learning Sets of Rules -- 11. Analytical Learning -- 12. Combining Inductive and Analytical Learning -- 13. Reinforcement Learning

0070428077 0071154671


Algoritmos computacionales
Aprendizaje por máquina

QA76.9 / M681m