Nr. | Issued | Question time | Presentation | Link | Additional Material |
1 | 11.10.2011 | 18.10.2011 | 25.10.2011 | Conditional Independence I | |
2 | 11.10.2011 | 18.10.2011 | 25.10.2011 | Conditional Independence II | |
3 | 11.10.2011 | 18.10.2011 | 25.10.2011 | Bayesian Networks | |
4 | 11.10.2011 | 18.10.2011 | 25.10.2011 | d-separation | |
5 | 8.11.2011 | 15.11.2011 | 29.11.2011 | Inference in Factor Graphs | |
6 | 8.11.2011 | 15.11.2011 | 29.11.2011 | Factor graphs: HMM model | MLA_WS1112_HW6.zip |
7 | 8.11.2011 | 15.11.2011 | 29.11.2011 | Message passing in Gaussian Bayesian networks | |
8 | 8.11.2011 | 15.11.2011 | 29.11.2011 | Factor graphs: Robot Localization | MLA_WS1112_HW8.zip |
9 | 8.11.2011 | 15.11.2011 | 29.11.2011 | Beta distribution | |
10 | 6.12.2011 | 13.12.2011 | 10.1.2012 | EM Algorithm Applet | |
11 | 6.12.2011 | 13.12.2011 | 10.1.2012 | EM Algorithm for Mixtures of Lines | |
12 | 6.12.2011 | 13.12.2011 | 10.1.2012 | Clustering: Face recognition | MLA_WS1112_HW12.zip |
13 | 6.12.2011 | 13.12.2011 | 10.1.2012 | Clustering: Image compression | MLA_WS1112_HW13.zip |
14 | 6.12.2011 | 13.12.2011 | 10.1.2012 | Mixture distributions | |
15 | 24.1.2012 | 31.1.2012 | 7.2.2012 | Parameter Learning for Naive Bayes Classifiers | MLA_WS1112_HW15.zip |
Practical | Date | Topic | Slides |
1 | 11.10.2011 | Organisation & Probabilistic Inference | Slides (PDF) |
2 | 8.11.2011 | Factor graphs | Slides (PDF) |
3 | 6.12.2011 | EM Algorithm and Clustering | Slides (PDF) |
4 | 14.1.2012 | Parameter Learning for Naive Bayes Classifiers | Slides (PDF) |