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City J. Gradient / Neville / Laird / / Company MIT Press / Air Force Research Laboratory / Relational Dependency Networks / Markov Logic Networks / / Country United States / / Facility Jude Shavlik University of Wisconsin-Madison / / IndustryTerm gradient-tree boosting algorithm / respective algorithms / closed form solution / data augmentation algorithms / friend network / perceptron algorithms / dependency networks / greedy hill-climbing search / functionalgradient boosting algorithm / / Organization Royal Statistical Society / Defense Advanced Research Projects Agency / American Statistical Association / Wake Forest University School of Medicine / MIT / US government / European Commission / University of Wisconsin / / Person Tushar Khot / Jude Shavlik / Kristian Kersting / Sriraam Natarajan / / Position author / / Product Gibbs / C-0181 / / ProvinceOrState New Mexico / Wisconsin / / PublishedMedium Annals of Mathematics / Journal of the Royal Statistical Society / Machine Learning / Journal of the American Statistical Association / / Technology Bayesian structural EM algorithm / gradient-tree boosting algorithm / proposed algorithm / artificial intelligence / EM-based algorithm / CWA algorithm / proposed algorithms / functionalgradient boosting algorithm / SEM algorithm / respective algorithms / Machine Learning / data augmentation algorithms / EM algorithm / generalized EM algorithms / perceptron algorithms / / URL http / SocialTag