Title
Without a title - Contents
1. Introduction
2. 2. YAILS learning
2.1 The main cycle of the program
2.2 Modification of rules
2.3 Invention of new rules
2.4 2.4. Search transformations
2.4.1 Generalization operators
2.4.1.1 Drop-condition operator
2.4.1.2 Enlarging intervals operator
2.4.2 Specialization operators
2.4.2.1 Add condition (numeric + symbolic) operator
2.4.2.2 Restricting intervals operator
2.4.3 Search Control
2.5 Evaluation Function
2.6 Incomplete information
2.6.1 Unknown values
2.6.2 Incomplete examples
3. 3. Classification strategies
3.1 Redundancy
3.2 Weighted flexible matching
3.3 Conflict resolution
3.4 "Normal", "only foreground" and "all" strategies
4. 4. Implementation considerations
4.1 YAP-prolog
4.2 Data-structures
4.3 Efficiency problems
5. 5. Using YAILS
5.1 5.1. Learning
5.2 5.2. Classifying
5.3 5.3. Testing
6. References
Title