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We study the problem of learning multivariate dependencies in nonparametric and high-dimensional settings.
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Constantin Aliferis, Ioannis Tsamardinos and Alexander Statnikov · 2003
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Ioannis Tsamardinos, Constantin Aliferis, Alexander Statnikov and Er Statnikov · 2003
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Bruce Blackadar · 2006
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Nicolai Meinshausen and Peter B“”uhlmann · 2006
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Mathias Niepert, Marc Gyssens, Bassem Sayrafi and Dirk Van · 2013
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Alexander Statnikov, Nikita Lytkin, Jan Lemeire and Constantin Aliferis · 2013
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“How matroids occur in the context of learning Bayesian network structure.”
Milan Studen“‘y · 2015
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“Graphical models via univariate exponential family distributions”
Eunho Yang, Pradeep Ravikumar, Genevera Allen and Zhandong Liu · 2015
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“Efficient Markov blanket discovery and its application”
Tian Gao and Qiang Ji · 2016
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“Efficient score-based Markov blanket discovery”
Tian Gao and Qiang Ji · 2017
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