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Which graphical models are difficult to learn?

Which graphical models are difficult to learn?

30 October 2009
Andrea Montanari
J. A. Pereira
ArXivPDFHTML

Papers citing "Which graphical models are difficult to learn?"

3 / 3 papers shown
Title
Learning Bayesian Network Structure from Massive Datasets: The "Sparse
  Candidate" Algorithm
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
N. Friedman
I. Nachman
Dana Peér
156
652
0
23 Jan 2013
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
246
957
0
02 Oct 2010
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized
  Logistic Regression
High-Dimensional Graphical Model Selection Using ℓ1\ell_1ℓ1​-Regularized Logistic Regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
270
177
0
26 Apr 2008
1