Search Results for author: Wiepke Cahn

Found 1 papers, 0 papers with code

PROMISSING: Pruning Missing Values in Neural Networks

no code implementations3 Jun 2022 Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal, Bart van Schie, Andre F. Marquand, Josien Pluim, Wiepke Cahn, Hugo G. Schnack

In this method, there is no need to remove or impute the missing values; instead, the missing values are treated as a new source of information (representing what we do not know).

BIG-bench Machine Learning Imputation

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