TY  - BOOK
AU  - Mitchell, Tom M
AU  - Mitchell, Tom M.
TI  - Machine Learning
SN  - 9780071154673
U1  - 006.31 MIT 
PY  - 1997///
CY  - New York
PB  -  : McGraw-Hill, 
KW  -  Computer Science
KW  -  Special computer methods (e.g. AI, multimedia, VR)[4]
KW  - Machine learning
KW  - Computer algorithms
KW  - Artificial intelligence
KW  - Machine-learning
KW  - Algorithmes
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  -