Lecture: Bayesian Networks - Details

General information

Course name	Lecture: Bayesian Networks
Course number	INF-0088, INF-0263
Semester	SS 2020
Current number of participants	31
Home institute	Multimedia und maschinelles Sehen
Courses type	Lecture in category Teaching
First date	Tuesday, 21.04.2020 14:00 - 15:30, Room: (2045 N)
Veranstaltung findet online statt / hat Remote-Bestandteile	Yes
Hauptunterrichtssprache	deutsch

Lecturers

• Prof.Dr. Rainer Lienhart
• Moritz Werner Amadeus Einfalt
• Stephan Brehm
• Katja Ludwig

Rooms and times

(2045 N)

Tuesday: 14:00 - 15:30, weekly (13x)

Fields of study

• Fakultät für Angewandte Informatik > Informatik

Comment/Description

Probability theory is a powerful tool for inferring the value of missing variables given a set of other variables. As the number of variables in a system increases, the joint probability distribution over these variables becomes overwhelmingly large. In this lecture we examine the implications of factoring one large joint probability distribution into a set of smaller conditional distributions by exploiting independencies between variables and study suitable algorithms for inference.

For additional information, see:
https://www.uni-augsburg.de/de/fakultaet/fai/informatik/prof/mmc/teaching/courses/bayesian_networks/