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SS 15 Bayesian Networks

From Multimedia Computing Lab - University of Augsburg


Registration will open on 09.03.2015
Register for the Lecture
Register for the Exercise

Overview

Instructors: Prof. Dr. Rainer Lienhart, Fabian Richter, Christian Eggert
Time Lecture: Mon, 12:15 - 13:45, Room: 1058 N
Time Exercise: Mon, 15:45 - 17:15, Room: 1058 N
Credits: 2 + 2 SWS, LP 5
Examine: Friday, 31.07.15, 10:00 - 11:30, 2045 N
Multimedia Teilbereiche: Multimedia Methoden, Multimedia Anwendungen, Systemnahe Grundlagen von Multimedia


In order to be admitted to the final exam, students are required to register with the course in DigiCampus and STUDIS. No additional requirements are imposed.

News

  • [03.03.2015] Page creation.
  • [20.04.2015] New location and time for the exercises due to the number of participants
  • [07.05.2015] Exercises will take place at the original time and location

Literature

MAIN REFERENCE:

  1. Richard E. Neapolitan. Learning Bayesian Networks. Prentice Hall Series in Artifical Intelligence, 2004. ISBN 0-13-012534-2

ADDITIONAL REFERENCE:

  1. Daphne Koller, Nir Friedman. Probabilistic Graphical Models: Principles and Techniques. The MIT Press, 2009. ISBN 978-0262013192

Important Comments

  • Vorlesung wird auf Deutsch gehalten (trotz der englischsprachigen Folien und Literatur)
  • All reading notes are relevant for the exams independent on how thoroughly they have been discussed during the lecture. Thus read and study them carefully.