Lecture 5 - Markov Random Fields, Factor Graphs and Message Passing

Content: Markov Random Fields, Factor Graphs and Message Passing
Lecturer: Andreas Lindholm
Slides: lecture5_handout.pdf Download lecture5_handout.pdf

Reading: Bishop: 8.3, 8.3.2, (8.3.3, we will discuss only the model; ''iterated conditional modes'' is not required), 8.3.4, 8.4, 8.4.1, 8.4.3. 8.4.4. Barber: 4.2, 4.2.1, 4.2.3, 4.2.5, 4.5 (not 4.5.1), 5.1.2, 5.1.3. '''Warning:''' Bishop does not discuss in detail the Markov properties of Markov Random Fields; check Barber 4.2.1 for details.
Formula sheet: gauss-formula-sheet.pdf Download gauss-formula-sheet.pdf

Place: Zoom