Information Systems and Machine Learning Lab, University of Hildesheim, Germany

Courses in winter term 2007/2008 / Course on Bayesian Networks / Lecture Notes:

0. Introduction	[PDF]	22.10.2007
I. Probability independence and separation in graphs / undirected graphs	[PDF]	24+29.10.2007
II. Probability independence and separation in graphs / DAGs	[PDF]	31.10+05.11.2007
III. Probability independence and separation in graphs / Markov Networks	[PDF]	05+07+12.11.2007
IV. Probability independence and separation in graphs / Bayesian Networks	[PDF]	12+19.11.2007
V. Bayesian Networks - Exact Inference	[PDF]	21.11.2007
VI. Bayesian Networks - Exact Inference (Clustering)	[PDF]	05+10+17.12.2007
VII. Bayesian Networks - Exact Inference (Examples)	[PDF]	19.12.2007
VIII. Bayesian Networks - Approx. Inference (Sampling)	[PDF]	07.01.2008
IX. Bayesian Networks - Approx. Inference (Propagation)	[PDF]	09.01.2008
X. Bayesian Networks - Parameter Learning	[PDF]	21+23.01.2008
XI. Bayesian Networks - Parameter Learning/Missing Values	[PDF]	28.01.2008
XII. Bayesian Networks - Structure Learning / Constrained-based Learning	[PDF]	04.02.2008