Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging.

Stefan Lüdtke; Marcel Gehrke; Tanya Braun; Ralf Möller; Thomas Kirste

doi:10.3233/FAIA200397

Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging.

Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller, Thomas Kirste

Original language	English
Title of host publication	ECAI
Number of pages	8
Publication date	2020
Pages	2608-2615
DOIs	https://doi.org/10.3233/FAIA200397
Publication status	Published - 2020

Research Areas and Centers

Centers: Center for Artificial Intelligence Luebeck (ZKIL)
Research Area: Intelligent Systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3233/FAIA200397

Cite this

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title = "Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging.",

author = "Stefan L{\"u}dtke and Marcel Gehrke and Tanya Braun and Ralf M{\"o}ller and Thomas Kirste",

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AU - Gehrke, Marcel

AU - Braun, Tanya

AU - Möller, Ralf

AU - Kirste, Thomas

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

U2 - 10.3233/FAIA200397

DO - 10.3233/FAIA200397

M3 - Conference contribution

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EP - 2615

BT - ECAI

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