3 citations · 3 across the 1 of their papers we have counts for
2 papers
stat.ML2018
Explicating feature contribution using Random Forest proximity distances
Leanne S. Whitmore, Anthe George, Corey M. Hudson
In Random Forests, proximity distances are a metric representation of data into decision space. By observing how changes in input map to the movement of instances in this space we…
stat.ML2017★ 3 cited
Probability Series Expansion Classifier that is Interpretable by Design
Sapan Agarwal, Corey M. Hudson
This work presents a new classifier that is specifically designed to be fully interpretable. This technique determines the probability of a class outcome, based directly on probabi…