Nr. | Issued | Question time | Hand in | Link | Additional Material |
1 | 13.10.2015 | 20.10.2015 | 03.11.2015 | Conditional Independence | |
2 | 13.10.2015 | 20.10.2015 | 03.11.2015 | Bayesian Networks | |
3 | 13.10.2015 | 20.10.2015 | 03.11.2015 | d-separation | |
4 | 10.11.2015 | 17.11.2015 | 01.12.2015 | Inference in Factor Graphs | |
5 | 10.11.2015 | 17.11.2015 | 01.12.2015 | Factor graphs: HMM | MLA_WS1516_HW5.zip |
6 | 10.11.2015 | 17.11.2015 | 01.12.2015 | Markov Networks | |
7 | 24.11.2015 | 15.12.2015 | 26.01.2016 | Junction Trees | |
8 | 24.11.2015 | 15.12.2015 | 19.01.2016 | Parameter Learning: Beta distribution | |
9 | 24.11.2015 | 15.12.2015 | 19.01.2016 | Beta Distribution | |
10 | 24.11.2015 | 15.12.2015 | 19.01.2016 | Parameter Learning: Naive Bayes Classifier | MLA_WS1516_HW10.zip |
11 | 12.01.2016 | 19.01.2016 | 26.01.2016 | K-means: Image compression | MLA_WS1516_HW11.zip |
12 | 12.01.2016 | 19.01.2016 | 26.01.2016 | EM Algorithm for Gaussian Mixture Model | MLA_WS1516_HW12.zip |
13 | 12.01.2016 | 19.01.2016 | 26.01.2016 | EM Algorithm for Mixture of Lines | MLA_WS1516_HW13.zip |
Practical | Date | Topic | Slides |
1 | 13.10.2015 | Organisation & Probabilistic Inference | Slides (PDF) |
2 | 10.11.2015 | Factor Graphs & Markov Networks | Slides (PDF) |
3 | 24.11.2015 | Junction Trees & Parameter Learning in Bayesian Networks Updated: Slide 8 corrected Gamma(n+1) (2) Slide 25&26: A10 full text (3) changed slide 24 |
Slides (PDF) updated |
4 | 12.01.2016 | K-means & EM Algorithm | Slides (PDF) |
Inspection date (A7-13) will be 16th January 2016, 2pm
Final results |