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Graphical Models

132 directly classified papers

Papers per year

Papers

Learning with Tree-Averaged Densities and Distributions NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006