Gradient-Based Training and Pruning of Radial Basis Function Networks with an Application in Materials Physics

Jussi Määttä, Viacheslav Bazaliy, Jyri Kimari +3

Many applications, especially in physics and other sciences, call for easily interpretable and robust machine learning techniques. We propose a fully gradient-based technique for t…