TY  - BOOK
AU  - Tom M Mitchell
AU  - Tom M Mitchell
TI  - Machine Learning
T2  - McGraw-Hill series in computer science
SN  - 9781259096952
U1  - 006.31 MIT 
PY  - 1997///
CY  - New York 
PB  - : McGraw-Hill
KW  - Computer Science
KW  - Machine learning
KW  - Computer algorithms
N1  - 	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
N2  - 	
Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data
ER  -