A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov
Tree Structures

A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures

7 May 2009

Vincent Y. F. Tan

Anima Anandkumar

Papers citing "A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures"

6 / 6 papers shown

Title
On the Number of Samples Needed to Learn the Correct Structure of a Bayesian Network O. Zuk Shiri Margel E. Domany 47 49 0 27 Jun 2012
Learning Latent Tree Graphical Models M. Choi Vincent Y. F. Tan Anima Anandkumar A. Willsky 76 264 0 14 Sep 2010
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates Vincent Y. F. Tan Anima Anandkumar A. Willsky 84 49 0 05 May 2010
Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures Vincent Y. F. Tan Anima Anandkumar A. Willsky 67 57 0 28 Sep 2009
Universal and Composite Hypothesis Testing via Mismatched Divergence Jayakrishnan Unnikrishnan Dayu Huang Sean P. Meyn A. Surana Venugopal V. Veeravalli 45 49 0 11 Sep 2009
$High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression$ High-Dimensional Graphical Model Selection Using $\ell_1$ -Regularized Logistic Regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 137 177 0 26 Apr 2008

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.