Ghada Sokar

Quick and Robust Feature Selection: the Strength of Energy-efficient\n Sparse Training for Autoencoders

2020 · arXiv (Cornell University)

Major complications arise from the recent increase in the amount of\nhigh-dimensional data, including high computational costs and memory\nrequirements. Feature selection, which identifies the most relevant and\ninformative attributes of a dataset, has been introduced as a …