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Title: ExpertBayes: Automatically refining manually built Bayesian networks
Authors: Ezilda Duarte Almeida
Pedro Silva Ferreira
Tiago Travassos Vinhoza
Inês Dutra
Issue Date: 2014
Abstract: Bayesian network structures are usually built using only the data and starting from an empty network or from a naive Bayes structure. Very often, in some domains, like medicine, a prior structure is already known based on expert knowledge. This structure can be automatically or manually refined in search for better performance models. In this work, we take Bayesian networks built by specialists and show that minor perturbations to this original network can yield better classifiers, while maintaining most of the interpretability of the original network. © 2014 IEEE.
metadata.dc.type: conferenceObject
Appears in Collections:CRACS - Articles in International Conferences

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