FEAST: An Automated Feature Selection Framework for Compilation Tasks

no code implementations • 29 Oct 2016 • Pai-Shun Ting, Chun-Chen Tu, Pin-Yu Chen, Ya-Yun Lo, Shin-Ming Cheng

In this paper, we propose FEAture Selection for compilation Tasks (FEAST), an efficient and automated framework for determining the most relevant and representative features from a feature pool.

BIG-bench Machine Learning feature selection