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20172026
most citedMissing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?

5 citations · 6 across the 6 of their papers we have counts for

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Showing 2019 · stat.MLShow all

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stat.ML2019

Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models

Benjamin Lengerich, Sarah Tan, Chun-Hao Chang +2

Models which estimate main effects of individual variables alongside interaction effects have an identifiability challenge: effects can be freely moved between main effects and int…