![Graphical models / Networks / Statistical models / Bayesian network / Exponential family / Bayesian inference / Mathematical optimization / Maximum likelihood / Feature selection / Statistics / Bayesian statistics / Statistical theory Graphical models / Networks / Statistical models / Bayesian network / Exponential family / Bayesian inference / Mathematical optimization / Maximum likelihood / Feature selection / Statistics / Bayesian statistics / Statistical theory](https://www.pdfsearch.io/img/acaa58244721abf434f2305adb949347.jpg) Date: 2006-05-23 00:36:59Graphical models Networks Statistical models Bayesian network Exponential family Bayesian inference Mathematical optimization Maximum likelihood Feature selection Statistics Bayesian statistics Statistical theory | | Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering Yuhong Guo and Dale Schuurmans Department of Computing Science University of AlbertaAdd to Reading ListSource URL: webdocs.cs.ualberta.caDownload Document from Source Website File Size: 131,31 KBShare Document on Facebook
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