2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 2 cited
Binary Stochastic Filtering: feature selection and beyond
Andrii Trelin, Aleš Procházka
Feature selection is one of the most decisive tools in understanding data and machine learning models. Among other methods, sparsity induced by penalty is one of the simple…
cs.LG2019
Binary Stochastic Filtering: a Method for Neural Network Size Minimization and Supervised Feature Selection
Andrii Trelin, Ales Prochazka
Binary Stochastic Filtering (BSF), the algorithm for feature selection and neuron pruning is proposed in this work. The method defines filtering layer which penalizes amount of the…