bayesian model averaging
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In statistics and machine learning, ensemble methods use multiple models to obtain better predictive inference|predictive performance than could be obtained from any of the constituent models. Unlike a statistical ensemble in statistical mechanics, which is usually infinite, a machine learning ensemble refers only to a concrete finite set of alternative models.
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