2018
Random Subspace with Trees for Feature Selection Under Memory Constraints
AISTATS 2018poster
Dealing with datasets of very high dimension is a major challenge in machine learning. In this paper, we consider the problem of feature selection in applications where the memory is not large enough to contain all features. In this setting, we propose a novel tree-based feature selection approach t…