- Department of Computer Engineering, Seoul National University
- Instructor: Prof. Byoung-Tak Zhang
- TAs: Suk-Joon Kim and Soo-Yong Shin
- Classroom: 301-101
- Time: Wed 2-4pm and Fri 10-11am
- Textbook: Machine Learning, T. Mitchell, McGraw-Hill, 1997.
- Supplement 1: Machine Learning: A Multistrategy Approach, Vol. IV, (Eds.) R. Michalski and G. Tecuci, Morgan Kaufmann, 1994.
- Supplement 2: Machine Learning: Paradigms and Methods, (Ed.) J. G. Carbonell, MIT Press, 1990.
- Schedule
- Week 1: Introduction (Chap 1)
- Week 2: Concept Learning (Chap 2)
- Week 3: Decision Tree Learning (Chap 3)
- Week 4: Artificial Neural Networks (Chap 4)
- Week 5: Bayesian Learning (Chap 6)
- Week 6: Midterm Exam
- Week 7: Computational Learning Theory (Chap 7)
- Week 8: Instance-Based Learning (Chap 8)
- Week 9: Genetic Algorithms (Chap 9)
- Week 10: Learning Sets of Rules (Chap 10)
- Week 11: Analytical Learning (Chap 11), Combining Inductive and Analytical Learning (Chap 12)
May 13: Due for the draft version of term papers
- Week 12: Reinforcement Learning (Chap 13)
- Week 13: (May 27) Final Exam
- Week 14: (June 3) Presentations A1-A10
- Week 15: (June 10) Presentations A11-A20
- Week 16: (Saturday, June 13, 9:00am) B1-B8 & C1-C7 (whole-day workshop, 9am-5pm)
June 17: Due for the term papers and slides (by person in diskette and hard copies to TAs at 301-417)
New: Online Proceedings of SCAI 1998 Spring Workshop on Machine Learning (SCAI98S)
Lecture notes (slides):
Chapter 1,
Chapter 2,
Chapter 3,
Chapter 4,
Chapter 6
Chapter 7,
Chapter 8,
Chapter 9,
Chapter 10,
Chapter 11
Chapter 12,
Chapter 13
Back to [AI Lab (SCAI)] [Zhang's Home Page] [Dept. of Computer Eng.]