Search Results for author: Eva Riccomagno

Found 4 papers, 1 papers with code

The R Package stagedtrees for Structural Learning of Stratified Staged Trees

1 code implementation14 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.

Clustering

A geometric characterisation of sensitivity analysis in monomial models

no code implementations18 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.

Markov Property in Generative Classifiers

no code implementations12 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.

A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams

no code implementations28 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.

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