Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
teaching:ss2016:lecture_graphical_models [2016/05/17 12:15] domokos |
teaching:ss2016:lecture_graphical_models [2016/06/22 10:04] domokos |
||
---|---|---|---|
Line 10: | Line 10: | ||
Directed and undirected graphical models | Directed and undirected graphical models | ||
- | * Bayesian | + | * Bayesian |
- | * Markov Random | + | * Markov Random |
- | * Conditional Random | + | * Conditional Random |
Parameter learning for MRF and CRF models | Parameter learning for MRF and CRF models | ||
Line 20: | Line 20: | ||
Exact MAP inference methods for MRFs | Exact MAP inference methods for MRFs | ||
- | * Belief propagation on trees: | + | * Belief propagation on trees: |
* Binary graph cuts | * Binary graph cuts | ||
* Branch-and-mincut | * Branch-and-mincut | ||
Line 65: | Line 65: | ||
== Exam == | == Exam == | ||
The exam will be oral. | The exam will be oral. | ||
+ | Please **do not forget** to register to the exam by 30.06.2016 in TUM Online. | ||
+ | ** Location:** Room 02.09.023\\ | ||
+ | ** 1st Date:** 19th, July\\ | ||
+ | ** 2nd Date:** 2nd, August\\ | ||
+ | |||
+ | Please contact us per email if you want to reserve a specific time slot. | ||
+ | For more details visit the [[teaching: | ||
== Recommended literature == | == Recommended literature == |