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Approximate Lifted Inference with Probabilistic Databases

Approximate Lifted Inference with Probabilistic Databases

Proceedings of the VLDB Endowment (PVLDB), 2014
2 December 2014
Wolfgang Gatterbauer
Dan Suciu
    TPM
ArXiv (abs)PDFHTML

Papers citing "Approximate Lifted Inference with Probabilistic Databases"

3 / 3 papers shown
Synthesising Recursive Functions for First-Order Model Counting:
  Challenges, Progress, and Conjectures
Synthesising Recursive Functions for First-Order Model Counting: Challenges, Progress, and ConjecturesInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2023
Paulius Dilkas
Vaishak Belle
LRM
280
5
0
07 Jun 2023
Database Learning: Toward a Database that Becomes Smarter Every Time
Database Learning: Toward a Database that Becomes Smarter Every Time
Yongjoo Park
Ahmad S. Tajik
Michael Cafarella
Barzan Mozafari
284
76
0
16 Mar 2017
Dissociation and Propagation for Approximate Lifted Inference with
  Standard Relational Database Management Systems
Dissociation and Propagation for Approximate Lifted Inference with Standard Relational Database Management SystemsThe VLDB journal (VLDB J.), 2013
Wolfgang Gatterbauer
Dan Suciu
521
21
0
23 Oct 2013
1
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