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CS 9633
Topics in Artificial Intelligence
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CS 9633
Topics in Artificial Intelligence
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| Course Syllabus | Syllabus for CS 9633 for Spring 2003 |
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| Course Schedule | Schedule of class assignments and presentations (updated periodically) |
| Academic Honesty | The Computer Science Departmental Policy Regarding Professional Conduct (academic honesty; required reading for all students) |
| Add/Drop Policy | The Mississippi State University Add/Drop Policy |
| Textbook | Machine Learning by Tom Mitchell |
| Useful links |
Citeseer UCI Machine Learning Repository UCI KDD Repository |
| Lectures |
Introduction k Nearest Neighbor Concept Learning Feature Selection Decision Trees Neural Networks Evaluating Hypotheses Bayesian Learning Computational Learning Theory Artificial Immune Systems (Guest Lecture by Andrew Watkins ) Support Vector Machines Learning Sets of Rules Explanation Based Learning Inductive Analytical Learning |
| Homework Sets | Homework 1 Due February 4, 2003 Dataset Homework 2 Due February 18, 2003 |
| Term Project | Abstract due March 20, project due April 24, 2003 |