TY  - BOOK
AU  - Mitchell,Tom M.
TI  - Machine learning
T2  - McGraw-Hill series in computer science
SN  - 9780071154673
AV  - Q325.5 .M58 1997
PY  - 1997///]
CY  - New York
PB  - McGraw-Hill
KW  - Machine learning
KW  - Computer algorithms
N1  - Includes bibliographical references and indexes; 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  -