Bayesian fairness
Typ
Examensarbete för masterexamen
Program
Computer science – algorithms, languages and logic (MPALG), MSc
Publicerad
2020
Författare
Belfrage, Amanda
Berg Marklund, David
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
This thesis aims to extend the Bayesian fairness algorithm created by Dimitrakakis
et al. to be able to handle continuous data. Using bagging to approximate the data
we aim to reduce the problem to a computable task that still performs well enough
to be an improvement over using the true underlying data. Even though promising
results where found for using bagging with discrete data, the continuous version of
the algorithm did not work.
Beskrivning
Ämne/nyckelord
Fairness , Bayesian fairness , algorithm