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Hierarchical Embedded Bayesian Additive Regression Trees
We propose a simple yet powerful extension of Bayesian Additive Regression Trees which we name Hierarchical Embedded BART (HE-BART).
Generalizing Gain Penalization for Feature Selection in Tree-based Models
We develop a new approach for feature selection via gain penalization in tree-based models.
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