An Improved Algorithm Based on BBES for Learning Bayesian Network Structure from Data

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Ommen, M. van
dc.contributor.author	Qian, S.
dc.date.accessioned	2020-11-30T19:00:12Z
dc.date.available	2020-11-30T19:00:12Z
dc.date.issued	2020
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/38203
dc.description.abstract	In this paper we look at some approaches to improve the computational performance of BBES (van Ommen, 2018) algorithm, which aims to learn Bayesian network structure from data. We discuss about how to choose AIC (Akaike information criterion) and BIC (Bayesian information criterion) score in different situations. We give a new branching heuristic based on Graph Attention Network and evaluate it on both simulated continuous data and real-life data.
dc.description.sponsorship	Utrecht University
dc.format.extent	2245426
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	An Improved Algorithm Based on BBES for Learning Bayesian Network Structure from Data
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	Bayesian network learning, Graph attention network, Machine learning
dc.subject.courseuu	Computing Science