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M-separation
In statistics, m-separation is a measure of disconnectedness in ancestral graphs and a generalization of d-separation for directed acyclic graphs. It…
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Ancestral graph
Directed acyclic graph
Path (graph theory)
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Answering Hindsight Queries with Lifted Dynamic Junction Trees
M. Gehrke
,
Tanya Braun
,
Ralf Möller
arXiv.org
2018
Corpus ID: 49573850
The lifted dynamic junction tree algorithm (LDJT) efficiently answers filtering and prediction queries for probabilistic…
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2017
2017
On Darwinian Networks
C. Butz
,
Jhonatan de S. Oliveira
,
A. E. D. Santos
International Conference on Climate Informatics
2017
Corpus ID: 43664851
We suggest Darwinian Networks (DNs) as a simplification of working with Bayesian networks (BNs). DNs adapt a handful of well…
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2016
2016
A Simple Method for Testing Independencies in Bayesian Networks
C. Butz
,
A. E. D. Santos
,
Jhonatan de S. Oliveira
,
Christophe Gonzales
Canadian Conference on AI
2016
Corpus ID: 34350351
Testing independencies is a fundamental task in reasoning with Bayesian networks BNs. In practice, d-separation is often utilized…
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2016
2016
Simplifying D-Separation and M-Separation in Bayesian Networks
Dos Santos
,
A. Evaristo
2016
Corpus ID: 208113740
2015
2015
Introducing Darwinian Networks
C. Butz
2015
Corpus ID: 71173
Darwinian networks (DNs) are introduced to simplify and clarify working with Bayesian networks (BNs). Rather than modelling the…
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2013
2013
Supplement - Learning Sparse Causal Models is not NP-hard
2013
Corpus ID: 237526185
This article contains detailed proofs and additional examples related to the UAI-2013 submission ‘Learning Sparse Causal Models…
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