Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data

no code implementations • 20 Dec 2019 • Johan S. Obando-Ceron, Victor Romero Cano, Walter Mayor Toro

This paper presents a framework for efficiently learning feature selection policies which use less features to reach a high classification precision on large unstructured data.

feature selection General Classification +2