Statistical Learning Theory
09810CS 565300 -- Autumn 2009
Tuesday 13:10-15:00 & Thursday 13:10-14:00
234 CS Building
Term project presentation: EECS B1, January 14, Thursday 12:30-14:00.
Prof. Tyng-Luh Liu's lecture notes on Boosting
, Decision Trees, and Random Forests
Assignment 6 is out: ps6.zip
The name of the pdf file should be ps6_YourStudentID, e.g., "ps6_9762578.pdf".
This assignment is due Wednesday, December 30, at 11:59pm.
Lecture notes for week 14: SLT09_Week14.pdf
Lecture notes for week 13: SLT09_Week13.pdf
[2009/12/8] Solutions for the midterm exam
Assignment 5 is out: ps5.zip
The name of the pdf file should be ps5_YourStudentID, e.g., "ps5_9762578.pdf".
This assignment is due Wednesday, December 16, at 11:59pm.
Lecture notes for week 12: SLT09_Week12.pdf
Solutions of PS1-PS4 collected by the TA and his comments: sol.zip
Lecture notes for week 11: SLT09_Week11.pdf
Lecture notes for weeks 9 & 10: SLT09_Week09.pdf
Assignment 4 is out: ps4.zip
The name of the pdf file should be ps4_YourStudentID, e.g., "ps4_9762578.pdf".
This assignment is due Monday, November 23, at 11:59pm.
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740 CS Building
Office hours: by appointment, or just stop by
謝宏坤 g9762578 [at] oz.nthu.edu.tw
綜二館 735 室
There will be ten assignments, including writing code, running packages, and solving problems.
You need to do the programming assignments using MATLAB and C/C++.
Midterm Exam (20%):
Term project (30%):
The term project may be done in teams of up to three people.
- Pattern Recognition and Machine Learning (PRML), Christopher M. Bihsop.
- Students are expected to have general programming experience in Matlab and C/C++.
Familiarity with the basic concepts of probability, linear algebra, and calculus is assumed.
Useful links and tools
- Professor Jang's MATLAB