Szanowni Państwo, Serdecznie zapraszamy na seminarium pt. „Medical decision analysis with probabilistic graphical models”
Prelegentem będzie Prof. Francisco Javier Diez, Department of Artificial Intelligence, UNED, Madryt, Hiszpania.
Seminarium odbędzie się 26 czerwca (poniedziałek), o godzinie 12:15 w sali 128.
In the first decades of artificial intelligence, many researchers
doubted or denied that probability could play a significant role in this
field. The situation changed with the advent of probabilistic graphical
models, such as Bayesian networks, influence diagrams, and factored
Markov decision processes. Nowadays these models are more and more used
in all the fields of artificial intelligence, especially in medicine,
because of their decision-theoretic foundation and their ability to
combine expert knowledge with data. This seminar will offer an overview
of probabilistic graphical models and show several networks for complex
medical problems built at the Center for Intelligent Decision-Support
Systems (CISIAD) of the National University for Distance Education
(UNED) in Madrid, Spain, ranging from medical diagnosis to
cost-effectiveness analysis. It will also present an open-source
software package for probabilistic graphical models, OpenMarkov, built
at the same center.
Krótkie bio: http://www.ia.uned.es/~fjdiez/biography.html