| Main Title |
Machine Learning / |
| Author |
Mitchell, Tom M.
|
| Publisher |
McGraw-Hill, |
| Year Published |
1997 |
| Report Number |
197-7692 |
| OCLC Number |
36417892 |
| ISBN |
0070428077; 9780070428072; 0071154671; 9780071154673 |
| Subjects |
Machine learning ;
Computer algorithms ;
Algoritmen ;
Kèunstliche Intelligenz ;
Maschinelles Lernen ;
Intelligence artificielle ;
Apprentissage automatique ;
Algorithmes ;
Apprentissage, Psychologie de l' ;
Kèunstliche Intelligenz--(DE-588)4033447-8 ;
Maschinelles Lernen--(DE-588)4193754-5 ;
Machine-learning--gtt ;
Algoritmen--gtt
|
| Internet Access |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| EKBM |
Q325.5.M58 1997 |
|
Research Triangle Park Library/RTP, NC |
01/18/2008 |
|
| Collation |
xvii, 414 pages : illustrations ; 25 cm. |
| Notes |
Includes bibliographical references and indexes. |
| Contents Notes |
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. 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. |
