2 papers
cs.LG2024
Divide, Conquer, Combine Bayesian Decision Tree Sampling
Jodie A. Cochrane, Adrian Wills, Sarah J. Johnson
Decision trees are commonly used predictive models due to their flexibility and interpretability. This paper is directed at quantifying the uncertainty of decision tree predictions…
cs.LG2023
RJHMC-Tree for Exploration of the Bayesian Decision Tree Posterior
Jodie A. Cochrane, Adrian G. Wills, Sarah J. Johnson
Decision trees have found widespread application within the machine learning community due to their flexibility and interpretability. This paper is directed towards learning decisi…