PIDSIA Seminar by Mauro Scanagatta: Advancements in Bayesian network structure learning
28 March 2018 - 28 March 2018
Manno, Galleria 1, 2nd floor, room G1-204 @12:00
A Bayesian network (BN) is a versatile and well-known probabilistic graphical model with applications in a variety of fields.
Their graphical nature makes BNs excellent models for representing the complex probabilistic relationships existing in many real problems ranging from bioinformatics to law, from image processing to economic risk analysis.
In this talk, we will present the difficult task of learning their dependency graph, also known as their structure, from data.

The Speaker

Mauro Scanagatta has completed his PhD course at IDSIA this March and he's now preparing to defend his Thesis.

Registration is highly recommended

Pizza kebab (or alternative food) and drinks will be offered at the end of the talk.
If you plan to attend, please register in a timely fashion at the following link so that we will have no shortage of food.