|
| Lecture | Date | Class topic | Relevant Reading |
|---|---|---|---|
| Lecture 1 | Jan 28 | Introduction and course overview | |
| Lectures 2, 3, 4 | Jan 30, Feb 4, 6 | Decision and Regression Trees (Ugoff) | |
| Lectures 5, 6 | Feb 11, 13 | Ensemble Methods (Barto) | |
| Lectures 7, 8, 9 | Feb 18, 20, 25 | Regression (Barto) | |
| Lectures 10, 11, 12 | Feb 27, Mar 4, 6 | Computational Learning Theory and Support Vector Machines (Siegelmann) | |
| Lectures 13-18 | Mar 11, 13, 25, 27, April 1, 3 | Learning and Bayes Nets (Mahadevan and Raphael(?) ) | |
| Lectures 19, 20 | April 8, 10 | Constructive methods (Utgoff) | |
| Lectures 21, 22 | April 15, 17 | Relational Learning (Jensen) | |
| Lectures 22, 24 | April 22, 24 | Semi-supervised Learning (McCallum) | |
| Lecture 25 | May 1 | Active Learning (McCallum) | |
| Lectures 26, 27 | May 6, 8 | Advanced clustering (Seigelmann) | |
| Lecture 28 | May 13 | Discussion |