Date |
Class Period & Lecture Topic |
Reading |
Assignment |
Sep 03 |
1. Syllabus, policies, business |
|
|
Sep 05 |
2. Introduction and overview |
Web search |
Topic Suggestions |
Sep 08 |
3. 1-on-1 meetings |
|
|
Sep 10 |
4. Foundation |
Alpaydin |
|
Sep 12 |
5. Computational Learning Theory |
Mitchell |
Your
Learning System |
Sep 15 |
6. No meetings (out of town) |
|
|
Sep 17 |
7. No meetings (out of town) |
|
Wiki Entry |
Sep 19 |
8. No meetings (out of town) |
|
|
Sep 22 |
9. 1-on-1 meetings |
|
Project Proposals |
Sep 24 |
10. Support Vector Machines |
Hearst |
Begin Paper
Overviews |
Sep 26 |
11. Support Vector Machines |
Burges |
|
Sep 29 |
12. 1-on-1 meetings |
|
|
Oct 01 |
13. Support Vector Machines |
|
|
Oct 03 |
14. Clustering |
Xu |
|
Oct 06 |
15. 1-on-1 meetings |
|
|
Oct 08 |
16. Clustering |
|
|
Oct 10 |
17. Manifold Learning |
Smith, Roweis,
Tenenbaum |
|
Oct 13 |
18. 1-on-1 meetings |
|
|
Oct 15 |
19. Manifold Learning |
Gashler
|
|
Oct 17 |
20. Transduction |
Lundell |
|
Oct 20 |
21. 1-on-1 meetings |
|
|
|
Midterm (October 22–24 in the
Testing
Center) |
Oct 22 |
22. Review |
|
|
Oct 24 |
23. No meetings (midterm) |
|
|
Oct 27 |
24. 1-on-1 meetings |
|
|
Oct 29 |
25. Ensembles |
Freund |
|
Oct 31 |
26. Ensembles |
|
End Paper Overviews |
Nov 03 |
27. 1-on-1 meetings |
|
|
Nov 05 |
28. Meta-Learning |
Pfahringer |
|
Nov 07 |
29. Meta-learning |
Thrun |
|
Nov 10 |
30. 1-on-1 meetings |
|
|
Nov 12 |
31. Recurrent Neural Networks |
Elman |
|
Nov 14 |
32. Recurrent Neural Networks |
Werbos |
|
Nov 17 |
33. 1-on-1 meetings |
|
|
Nov 19 |
34. Spiking Neural Networks |
Bohte |
|
Nov 21 |
35. Spiking Neural Networks |
Goodman, Norton |
|
Nov 24 |
36. 1-on-1 meetings |
|
|
Nov 25 |
37. |
|
|
Dec 01 |
38. 1-on-1 meetings |
|
|
Dec 03 |
39. Creativity in Artificial Intelligent Systems |
|
Abstract |
Dec 05 |
40. Presentations |
|
Orals Schedule |
Dec 08 |
41. Presentations |
|
|
Dec 10 |
42. Presentations |
|
Your
Paper |
Dec 12 |
Reading Day |
|
|
Dec 19 |
Final 11:00–2:00pm in
class) |