Efficient discriminative learning of Bayesian network classifier via Boosted Augmented Naive Bayes Yushi Jing College of Computing, Georgia Institute of Technology, Atlanta, GA[removed]USA - Bardstown Road - Document - PDFSEARCH.IO - Document Search Engine

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	Efficient discriminative learning of Bayesian network classifier via Boosted Augmented Naive Bayes Yushi Jing College of Computing, Georgia Institute of Technology, Atlanta, GA[removed]USA Add to Reading List Document Date: 2008-12-01 11:15:42 Open Document File Size: 276,66 KB Share Result on Facebook City Piscataway / Banff / BNC / Cambridge / Bonn / / Company Neural Information Processing Systems / Augmented Naive Bayes Table 1 / MIT Press / BT / ACM Press / Augmented Naive Bayes / Augmented Naive Bayes Table 2 / / Country Germany / Jordan / United States / Canada / / Currency pence / / / Facility Georgia Institute of Technology / Rutgers University / USA James M. Rehg College of Computing / University of California / Boosted Augmented Naive Bayes Yushi Jing College of Computing / / IndustryTerm structure search algorithm / constrained search space / structure learning algorithms / discriminative structure learning algorithm / line search / probabilistic networks / bayesian networks / structure learning algorithm / exhaustive structure search / form solution / still search / learning algorithm / / MarketIndex UCI / / Organization National Science Foundation / MIT / Rutgers University / Boosted Augmented Naive Bayes Yushi Jing College of Computing / USA James M. Rehg College of Computing / Department of Computer Science / Georgia Institute of Technology / Atlanta / University of California / San Diego / / Person BAN VS HGC / Kevin Murphy / TAN NB / Matt Mullin / Vladimir Pavlovi / / / Position logistic regression model / author / Singer / / Product Skullcandy G.I. Headphone/Headset / Discrete AdaBoost / AdaBoost / / ProgrammingLanguage ML / / ProvinceOrState New Jersey / California / Georgia / / PublishedMedium Machine Learning / IEEE Transactions on Information Theory / / Technology competing algorithm / Improved boosting algorithms / TAN-like structure search algorithm / competing structure learning algorithms / ELR algorithm / BNC-2P discriminative structure learning algorithm / BAN algorithm / Machine Learning / AdaBoost algorithm / artificial intelligence / structure learning algorithm / Data Mining / BAN learning algorithm / TAN learning algorithm / discriminative structure learning algorithm / using ELR algorithm / using the ELR algorithm / / SocialTag Statistical classification Statistical models Naive Bayes classifier Ensemble learning Bayesian inference Bayesian network Computational learning theory Averaged one-dependence estimators AdaBoost Statistics