SBAMDT is a Bayesian additive tree model with hard-or-soft and univariate-or-multivariate splits, reporting better spatial predictions than existing tree ensembles.
Variable selection for BART : an application to gene regulation
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SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
SBAMDT is a Bayesian additive tree model with hard-or-soft and univariate-or-multivariate splits, reporting better spatial predictions than existing tree ensembles.