How to choose a learning algorithm -- 1. Characteristics of learning algorithms -- 2. Some basic ideas -- 3. Learning algorithms with numeric input -- 4. Association and neural networks -- 5. Clustering and correlation -- 6. Pattern matching and generalization -- 7. Learning in rule-based systems -- 8. Further developments
Bibliography
Includes bibliographical references (pages [421]-428) and index
