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

General information

Course name Lecture: Bayesian Networks
Course number INF-0088, INF-0263
Semester SS 2020
Current number of participants 36
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)
Online/Digitale Veranstaltung Veranstaltung wird online/digital abgehalten.
Hauptunterrichtssprache deutsch

Rooms and times

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


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.

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