MPE Inference in Conditional Linear Gaussian Networks

DOI10.1007/978-3-319-20807-7_37zbMath1465.62115OpenAlexW2143137748MaRDI QIDQ3451200

Antonio Salmerón, Rafael Rumí, Thomas D. Nielsen, Anders L. Madsen, Helge Langseth

Publication date: 10 November 2015

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

Full work available at URL: https://vbn.aau.dk/ws/files/217709346/mpe_ecsqaru.pdf

zbMATH Keywords

hybrid Bayesian networksconditional linear Gaussian networksMPE inference

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Probabilistic graphical models (62H22)

Cites Work

• Unnamed Item
• Unnamed Item
• Most probable explanations in Bayesian networks: complexity and tractability
• Graphical models for associations between variables, some of which are qualitative and some quantitative
• Modelling and inference with conditional Gaussian probabilistic decision graphs
• Bucket elimination: A unifying framework for reasoning
• Probabilistic Networks and Expert Systems

This page was built for publication: MPE Inference in Conditional Linear Gaussian Networks