92 citations · 156 across the 15 of their papers we have counts for
3 papers · 1 filter
A generalised OMP algorithm for feature selection with application to gene expression data
Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki +1
Feature selection for predictive analytics is the problem of identifying a minimal-size subset of features that is maximally predictive of an outcome of interest. To apply to molec…
Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets
Vincenzo Lagani, Giorgos Athineou, Alessio Farcomeni +2
The statistically equivalent signature (SES) algorithm is a method for feature selection inspired by the principles of constrained-based learning of Bayesian Networks. Most of the…
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos
Scientific practice typically involves repeatedly studying a system, each time trying to unravel a different perspective. In each study, the scientist may take measurements under d…