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세미나 한 발표 파워포인트 파일을 보내주세요.
파일 이름은 "몇번째세미나_chapter번호.ppt"입니다.
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텀 프로젝트 보고서의 파일을 보내주세요.
파일이름은 "학번.???"입니다.
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위 메일을 보내실 때 메일의 제목은 "지식표현 및 추론_이름_학번_텀프로젝트제목"으로 해 주세요.
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다른 사람들이 어떤 프로젝트를 했는지 볼 수 있습니다.
Term Project Reports
- Department of Computer Engineering, Seoul National University
- Instructor: Prof. Byoung-Tak Zhang
- TA: Jong-Woo Lee (E-mail, Tel.: 880-7302)
- Classroom: 301-101
- Time: Wed 3-4pm and Fri 3-5pm
- Text: Learning from Data: Concepts, Theory, and Methods,
V. Cherkassky and F. Mulier, Wiley, 1998.
- Supplement 1: Data Mining with Neural Networks, J. P. Bigus (Ed.), McGraw-Hill, 1996.
- Supplement 2: Predictive Data Mining, S. M. Weiss and N. Indurkhya (Eds.), Morgan Kaufmann, 1998.
- Supplement 3: Machine Learning and Data Mining: Methods and Applications, R. S. Michalski, I. Bratko, and M. Kubat (Eds.), Wiley, 1998.
- Requirements: Two open-book exams, a paper presentation, and a term project
- Schedule
- Week 1: Introduction (Chap 1)[slides]
- Week 2: Classical Approaches and Adaptive Learning (Chap 2)[slides]
- Week 3: Data Mining Seminar 1
- Week 4: Data Mining Seminar 2
- Week 5: Regularization Framework (Chap 3)[slides]
- Week 6: Statistical Learning Theory (Chap 4) [slides]
- Week 7: Nonlinear Optimization Strategies (Chap 5) [slides]
- Week 8: Data/Dimensionality Reduction (Chap 6)[slides]
- Week 9: Midterm Exam
- Week 10: Data Mining Seminar 3
- Week 11: Data Mining Seminar 4
- Week 12: Regression (Chap 7)[slides]
- Week 13: Classification (Chap 8)[slides]
- Week 14: Support Vector Machines (Chap 9) [slides]
- Week 15: Presentations of Term Projects
- Week 16: Final Exam
- Term Project Reports
Back to [AI Lab (SCAI)] [Zhang's Home Page] [Dept. of Computer Eng.]