Assignment cover

Please use for all assignments the following cover.pdf.

Tasks

On this site you will find the exercise problems and project tasks.

Exercises



Nr. Issued Question time Hand in Link Additional Material
1 29.10.2013 5.11.2013 12.11.2013 Conditional Independence  
2 29.10.2013 5.11.2013 12.11.2013 Bayesian Networks  
3 29.10.2013 5.11.2013 12.11.2013 d-separation  
4 19.11.2013 26.11.2013 3.12.2013 Inference in Factor Graphs  
5 19.11.2013 26.11.2013 3.12.2013 Factor graphs: HMM MLA_WS1314_HW5.zip
6 19.11.2013 26.11.2013 3.12.2013 Markov Networks  
7 10.12.2013 17.12.2013 07.01.2014 Junction Trees  
8 10.12.2013 17.12.2013 07.01.2014 Parameter Learning: Beta distribution  
9 10.12.2013 17.12.2013 07.01.2014 Beta Distribution  
10 10.12.2013 17.12.2013 07.01.2014 Parameter Learning: Naive Bayes Classifier MLA_WS1314_HW10.zip
11 14.01.2014 21.01.2014 28.01.2014 K-means: Image compression MLA_WS1314_HW11.zip
12 14.01.2014 21.01.2014 28.01.2014 EM Algorithm for Gaussian Mixture Model MLA_WS1314_HW12.zip
13 14.01.2014 21.01.2014 28.01.2014 EM Algorithm for Mixture of Lines MLA_WS1314_HW13.zip


Slides from Practicals

Practical Date Topic Slides
1 29.10.2013 Organisation & Probabilistic Inference Slides (PDF)
2 19.11.2013 Factor Graphs & Markov Networks Slides (PDF)
3 10.12.2013 Junction Trees & Parameter Learning in Bayesian Networks Slides (PDF)
4 14.01.2014 K-means & EM Algorithm Slides (PDF)


Please post your questions concerning the exercises and projects to the MLA Newsgroup.