Towards Gaussian Bayesian Network Fusion

DOI10.1007/978-3-319-20807-7_47zbMath1465.68223arXiv1812.00262OpenAlexW1233134016WikidataQ62038422 ScholiaQ62038422MaRDI QIDQ3451213

Pedro Larrañaga, Irene Córdoba-Sánchez, Concha Bielza

Publication date: 10 November 2015

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.00262

zbMATH Keywords

scalabilityfusionbig dataGaussian Bayesian network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Probabilistic graphical models (62H22) Computational aspects of data analysis and big data (68T09)

Uses Software

• bnlearn
• TETRAD

Cites Work

• Unnamed Item
• The max-min hill-climbing Bayesian network structure learning algorithm
• Causation, prediction, and search
• Estimating the dimension of a model
• Democraticop: a democratic way of aggregating Bayesian network parameters
• Bayesian network modeling of the consensus between experts: an application to neuron classification
• Qualitative combination of Bayesian networks

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