Winter Quarter 2010

EECS 395/495 - Special Topics in Machine Learning

Course Schedule (Subject to Change)

Week Day Date Topic Reading Assigned Due Points
1 Tue Jan-05-10 Introduction      
1 Thu Jan-07-10 Basics Chapter 2 HW 1, 4(e) solution  Jan-15-10 20 
2 Tue Jan-12-10 Statistical Estimation, Machine Learning/Project Chapter 17 (17.1)      
2 Thu Jan-14-10 Bayesian Networks, Naive Bayes Classifiers Chapter 3      
3 Tue Jan-19-10 Bayesian Networks (cont.) HW2 Jan-27-10 15
3 Thu Jan-21-10 Markov Networks Chapter 4
4 Tue Jan-26-10 Variable Elimination and Junction Tree Chapter 9, 10      
4 Thu Jan-28-10 Metrics        
5 Tue Feb-02-10 Sampling Chapter 12 HW3 Feb-15-10 10
5 Thu Feb-04-10  
6 Tue Feb-09-10          
6 Thu Feb-11-10 Learning Chapters 17, 20      
7 Tue Feb-16-10 EM Chapter 19.1
7 Thu Feb-18-10 EM and Semi Chapter 19.2 HW4 Mar-01-10 15
8 Tue Feb-23-10 HMM Chapter 6      
8 Thu Feb-25-10     HW5, part 1 Mar-09-10 5
9 Tue Mar-02-10 Structure Learning Chapter 18 HW5, part 2 Mar-19-10 15
9 Thu Mar-04-10 Final Exam 25
10 Tue Mar-09-10 Project Presentations        
10 Thu Mar-11-10 Active learning