Probabilistic Graphical Models

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Probabilistic Graphical Models

(Formerly Machine Learning: Statistical Approaches II)

Winter Semester 2014/2015

The course covers advanced topics in machine learning, for example: Graphical models in machine learning, inference mechanisms and sampling strategies in graphical models, Gaussian processes, probabilistic topic models, unsupervised and semi-supervised learning.

Quick links

Course materialsTUCaN

Organization

Module no. 20-00-0449-iv
Event type integrated course (IV4, 6CP, 4SWS), elective
Being taught regularly, usually winter semesters
Time Wednesdays, 09:50 – 13:20
First class 15.10.2014
Location S3|05, room 073
Lecturer Prof. Stefan Roth, Ph.D.
Exam Usually individual oral exams.

Content

Learning goals

Degree courses

Prerequisites

Literature