1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features
Joris Pries, Guus Berkelmans, Sandjai Bhulai +1
Over the past few years, the use of machine learning models has emerged as a generic and powerful means for prediction purposes. At the same time, there is a growing demand for int…
stat.ML2022★ 1 cited
The BP Dependency Function: a Generic Measure of Dependence between Random Variables
Guus Berkelmans, Joris Pries, Sandjai Bhulai +1
Measuring and quantifying dependencies between random variables (RV's) can give critical insights into a data-set. Typical questions are: `Do underlying relationships exist?', `Are…