Fall 2007
| Machine Learning home page | Syllabus | Schedule/Readings | Project Assignments | Resources |
| Project Name | Date Assigned | Due Date |
| 1. Neural network & backpropagation for character recognition | Sept. 6 | Monday, Oct. 1, 22:00:00 (i.e., 10 PM) |
| 2. Boosted naive Bayes classifier for text classification | Oct. 2 | Monday, Oct. 22, 22:00:00 |
| 3. Reinforcement learning for robot obstacle avoidance and wall following | Oct. 23 | Part A due: Friday, Oct. 26, 22:00:00 Full project due: Monday, Nov. 12, 22:00:00 |
| 4. Genetic Programming for Symbolic
Regression
proj4-data.dat (data file to use for this project) |
Nov. 13 | Monday, Dec. 3, 22:00:00 |
| 5. Poster on one of your prior projects | Nov. 20 | Poster Session, Thursday, Dec. 6, 10:15AM - 12:15PM,
in the Claxton Commons area |