The following is a preliminary schedule of the lectures and presentations for CS 5973 Machine Learning for Fall 2005. This schedule will be updated throughout the semester as we delve deeper into special topics and/or add additional topics of interest. All readings are from Machine Learning by Tom Mitchell unless otherwise noted. The project deadlines are in red and will not change, even if other parts of the schedule change.
| Date | Topic | Assigned Reading | Assigned | Due |
| Aug 23 (Week 1) | Introduction | Chapter 1 | HW 0 | |
| Aug 25 | Introduction II | HW 0 | ||
| Aug 30 (Week 2) | Concept learning | Chapter 2 | Project | |
| Sep 1 | Concept learning | |||
| Sep 6 (Week 3) | Decision Trees | Chapter 3 Ch 18 from AIMA (optional) |
HW 1 | |
| Sep 8 | Decision Trees | Incremental Tree Induction paper | Written project proposals | |
| Sep 13 (Week 4) | Oral project proposals |
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| Sep 15 | Reinforcement learning | Chapter 13 Chapters 1-3 in Sutton & Barto (optional) |
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| Sep 20 (Week 5) | Reinforcement learning | |||
| Sep 22 | Reinforcement learning | Written status report 1 | ||
| Sep 27 (Week 6) | Finish RL, Artificial Neural Networks | Chapter 4 | HW 2 | HW 1 |
| Sep 29 | Oral status report 1 |
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| Oct 4 (Week 7) | Artificial Neural Networks | |||
| Oct 6 | ANNs, Instance-based learning | Chapter 8 | Written status report 2 | |
| Oct 11 (Week 8) | Locally weighted regression and k-means clustering |
Constrained clustering (optional) |
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| Oct 13 | Hierarhical Clustering, Constrained clustering, Bayesian Learning |
Chapter 6 Chapter 14 from AIMA (optional) |
HW 2 | |
| Oct 18 (Week 9) | Oral status report 2 |
HW 3 | ||
| Oct 20 | Bayesian Learning |
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| Oct 25 (Week 10) | Bayesian learning and catchup | |||
| Oct 27 | Evolutionary computation, guest lecture by Dr. Hougen | Chapter 9 | ||
| Nov 1 (Week 11) | Bayesian Learning, Genetic Algorithms, Genetic Programming, Artificial Life | HW 3, Written status report 3 | ||
| Nov 3 | Statistical relational learning | RPT paper, PRM paper | HW 4 | |
| Nov 8 (Week 12) | Oral status report 3 |
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| Nov 10 | Statistical relational learning | |||
| Nov 15 (Week 13) | Multiple-Instance Learning | MIL paper | Preliminary project writeup | |
| Nov 17 | MIL, TD-Gammon | HW 5 | HW 4 | |
| Nov 22 (Week 14) | EM, other class requested topics | Peer reviews | ||
| Nov 24 | Thanksgiving vacation (enjoy your turkey!) |
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| Nov 29 (Week 15) | Learning from Demonstration |
Atkeson & Schaal paper | ||
| Dec 1 | Learning from Observation | Bentivegna paper | HW 5, Final project report | |
| Dec 6 (Week 16) | Project presentations |
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| Dec 8 | Project presentations |
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| Dec 14 (Final exam period 1:30-3:30) | Project presentations |
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