Graphical Models

Algorithms and machine learning
Advanced studies
During the last decade probabilistic graphical models have become an important modeling formalism in statistics, adaptive and learning systems in computer science and in information theory. This course provides an introduction to probabilistic modeling with graphical models with an emphasis on applications in machine learning, uncertain reasoning and information retrieval. Homework consists of a programming project and a term paper. No separate exam.
Year Semester Date Period Language In charge
2005 autumn 08.09-13.10. English


Time Room Lecturer Date
Thu 16-19 D122 Petri Myllymäki 08.09.2005-13.10.2005

This registration is only tentative in the sense that if the number of registrants is too high, we may need to restrict the number of students allowed to take the course. In that case we will be asking for more information about you by email.