Abstract: Robotic systems are highly complex, and debugging failures in them can prove challenging. We propose a technique for using multivariate decision trees to create human interpretable ...

Abstract: This paper presents nonlinear optimal classification trees, an advanced approach developed to enhance the accuracy and interpretability of classification trees. By integrating kernel-based ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...