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Inductive Rule Learning in a Nutshell
Published on Sep 25, 20133138 Views
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Chapter list
Inductive Rule Learning in a Nutshell00:00
Induction of Classifiers00:34
Concept Learning01:27
Conjunctive Rule02:42
A sample task05:24
A Simple Solution05:38
A Better Solution05:55
Separate-and-Conquer Rule Learning06:21
Relaxing Completeness and Consistency07:11
Separate-and-Conquer Rule Learning08:50
Terminology10:12
Coverage Spaces11:05
Covering Strategy12:57
Top-Down Hill-Climbing14:24
Rule Learning Heuristics15:34
Example16:40
Isometrics in Coverage Space17:28
Top-Down Hill-Climbing19:06
Precision (Confidence)19:50
Accuracy20:44
Weighted Relative Accuracy22:06
Correlation22:55
Overfitting23:21
Overfitting - Illustration24:16
Overfitting Avoidance - 126:40
Overfitting Avoidance - 226:43
Complexity of Concepts27:19
Pre-Pruning27:43
Post Pruning28:16
Post-Pruning: Example - 128:35
Post-Pruning: Example - 228:57
Incremental Reduced Error Pruning29:35
Multi-class problems30:30
One-against-all binarization30:53
Pairwise Classification32:13
Accuracy33:20
Summary34:04