| Topic |
Reading, approximate lectures, and Assignments |
| Introduction and Motivation |
Chapter 1 (2) |
| Concept Learning, Version Space, Terms and Definitions |
Chapter 2 (2) |
| Decision Trees (C4.5) |
Chapter 3 (2) C4.5
Simulation |
| How to do Applications, Training Data, combining models,
etc. |
(1-2) |
| How to Quantify Learning Model Accuracy |
Ch. 5 (2) |
| Instance Based Learning and Case-Based Learning |
Ch. 8 (2) IBL
Simulation |
| Genetic Algorithms and Evolutionary Approaches |
Ch. 9 (2) |
| Rule Induction and Inductive Logic Programming |
Ch. 10 (2) CN2
Simulation |
| Reinforcement Learning |
Ch. 13 (2) |
| Unsupervised Learning, Incremental Concept Formation |
(2) |
| Oral Presentations |
(2) |
| Final Exam |
Saturday, Apr. 17 - 7:00am-10:00am |