MLU
Exercises: Probabilistic Graphical Models (Gastmodul Bioinformatik A), Übung - Details
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General information

Semester SS 2013
Current number of participants 5
Home institute Bioinformatik
participating institutes Institut für Informatik
Courses type Exercises in category Offizielle Lehrveranstaltungen
First date Thu , 20.06.2013 14:00 - 16:00, Room: Hörsaal 1.23 [VSP 1]
Pre-requisites Molekulare Phylogenie
Performance record - Scheinerwerb durch Lösung der Aufgaben und aktive Teilnahme an den Übungen
Studiengänge (für) Master Bioinformatik
SWS 1

Comment/Description

In the last twenty years, Probabilistic Graphical Models (PGMs) have emerged as a most effective tool for solving artificial intelligence problem in general and in particular for bioinformatics applications. This course introduces what PGMs are and reviews the different types of questions that we can answer through its use. We cover algorithms that allow us to provide an exact answer to such questions, and establish when this answer can be provided in polynomial time. For those cases when no polynomial time exact algorithm exists, we review approximate inference techniques. In particular, we concentrate on structured variational approaches and variational expectation maximization. Along the course, exercise sessions will be used to show how the theoretical results in the lectures can be applied to particular bioinformatics problems, with an emphasis in molecular phylogenetics.