Digicampus
Lecture: Bayesian Networks - Details
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Lehrveranstaltung wird online/digital abgehalten.

General information

Course number INF-0088, INF-0263
Semester SS 2020
Current number of participants 63
Home institute Multimedia und maschinelles Sehen
Courses type Lecture in category Teaching
First date Tue , 21.04.2020 14:00 - 15:30, Room: (2045 N)
Online/Digitale Veranstaltung Veranstaltung wird online/digital abgehalten.
Hauptunterrichtssprache deutsch

Course location / Course dates

(2045 N) Tuesday: 14:00 - 15:30, weekly (13x)

Module assignments

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/