no code implementations • 26 Oct 2022 • Wouter van Loon, Marjolein Fokkema, Frank de Vos, Marisa Koini, Reinhold Schmidt, Mark de Rooij
This leads to very large quantities of missing data which, especially when combined with high-dimensionality, makes the application of conditional imputation methods computationally infeasible.
no code implementations • 12 Aug 2021 • Wouter van Loon, Frank de Vos, Marjolein Fokkema, Botond Szabo, Marisa Koini, Reinhold Schmidt, Mark de Rooij
We introduce an extension of this method to a setting where the data has a hierarchical multi-view structure.
no code implementations • 30 Oct 2020 • Wouter van Loon, Marjolein Fokkema, Botond Szabo, Mark de Rooij
The remaining four meta-learners, namely nonnegative ridge regression, nonnegative forward selection, stability selection and the interpolating predictor, show little advantages in order to be preferred over the other three.
no code implementations • 6 Nov 2018 • Wouter van Loon, Marjolein Fokkema, Botond Szabo, Mark de Rooij
We compare the performance of StaPLR with an existing view selection method called the group lasso and observe that, in terms of view selection, StaPLR is often more conservative and has a consistently lower false positive rate.