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07/10/2011
End Date: 13/10/2011

Lecture Announcement


As part of a cycle of short lectures  on Stochastic Models, we announce the lecture by Luigi Portinale "PGM: Probabilsitic Graphical Models", Wed. October 12, Seminar Room

Abstract: PGMs are  probabilistic models very popular in AI with a wide range of applications: diagnosis, monitoring and recovery, planning, data mining and knowledge discovery, user profiling, recommender systems, etc... They are based on the factorization of the sample space in a set of relevant variables, for which only local dependencies are directly represented. The lecture  will concentrate on so called "directed models", discussing some of the most popular formalisms like Bayesian Networks, Influence Diagrams and their dynamic counterparts (Dynamic Bayesian Netowrks and Dynamic Decision Networks). Basic features concerning representations, inference and application tasks will be discussed.