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Oznake: computer science;machine learning
We derive ensembles of decision trees through a nonparametric Bayesian model, allowing us to view such ensembles as samples from a posterior distribution. This insight motivates a class of Bayesian Forest (BF) algorithms that provide small gains in performance and large gains in interpretability. Ba ...
Leto: 2015 Vir: videolectures.net
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