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 |