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
2003 autumn 31.10-05.12. Finnish


Time Room Lecturer Date
Fri 10-13 A320 Opetusohjelman suunnittelija 31.10.2003-05.12.2003

Ilmoittautuminen tapahtuu kurssin kotisivulla

olevalla lomakkeella.