Slides of the lectures

Lecture Date Topic Material
1 28.10.2013 Introduction to Probabilistic Inference and Bayesian Networks Slides
2 04.11.2013
Probabilistic Inference in Bayesian Networks without undirected cycles via Factor Graphs
Slides
3 18.11.2013
Markov Networks, and Comparison with Bayesian Networks
Slides
4
22.11.2013
The Junction Tree Algorithm for Probabilistic Inference in arbitrary Graphical Models
Slides
5
25.11.2013
Learning as Probabilistic Inference
Slides
6
29.11.2013
Continuation: Learning as Probabilistic Inference
Slides
7
7b
02.12.2013
Lagrange Multipliers and Decision Making

Slides
script
8
16.12.2013
Expectation Maximization: A Powerful Tool for Fitting Complex Statistical Models to Data
Slides
9
13.01.2014
Completion of EM, and a few further useful Tricks and Concepts in Machine Learning
Slides