no code implementations • 28 May 2024 • Jack Storror Carter, Manuele Leonelli, Eva Riccomagno, Gherardo Varando
Staged trees are probabilistic graphical models capable of representing any class of non-symmetric independence via a coloring of its vertices.
1 code implementation • 14 Apr 2020 • Federico Carli, Manuele Leonelli, Eva Riccomagno, Gherardo Varando
stagedtrees is an R package which includes several algorithms for learning the structure of staged trees and chain event graphs from data.
no code implementations • 18 Dec 2018 • Manuele Leonelli, Eva Riccomagno
Sensitivity analysis in probabilistic discrete graphical models is usually conducted by varying one probability value at a time and observing how this affects output probabilities of interest.
no code implementations • 12 Nov 2018 • Gherardo Varando, Concha Bielza, Pedro Larrañaga, Eva Riccomagno
We show that, for generative classifiers, conditional independence corresponds to linear constraints for the induced discrimination functions.
no code implementations • 28 Jul 2016 • Manuele Leonelli, Eva Riccomagno, Jim Q. Smith
For problems where all random variables and decision spaces are finite and discrete, here we develop a symbolic way to calculate the expected utilities of influence diagrams that does not require a full numerical representation.