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            An official publication of the AAAI.

                High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression

                Wainwright, Martin J., Lafferty, John D., Ravikumar, Pradeep K.

                Dec-31-2007–Neural Information Processing Systems 

                We focus on the problem of estimating the graph structure associated with a discrete Markov random field.

                  artificial intelligence, assumption, machine learning, (18 more...)

                Neural Information Processing Systems

                Dec-31-2007

                Conferences    PDF

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                • Country:
                  • North America > United States > California > Alameda County > Berkeley (0.14)
                • Genre:
                  • Research Report
                    • Experimental Study (0.43)
                    • New Finding (0.52)
                • Technology:
                  • Information Technology > Artificial Intelligence > Machine Learning
                    • Learning Graphical Models
                      • Directed Networks > Bayesian Learning (0.46)
                      • Undirected Networks > Markov Models (0.34)
                    • Statistical Learning > Regression (0.67)

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                High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression
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