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 ...

Abstract: In the practical application of machine learning, the opaqueness of models often poses significant challenges. While decision trees are known for balancing representability with ...

Junior faculty are often told to protect their time, but nobody provides instructions for how to do so. As an assistant professor at a public university, I have struggled to balance my course load, my ...

Abstract: Traditional decision trees also known as vanilla decision trees, use axis-aligned splits and are interpretable. Alternate implementations known as linear decision trees use oblique splits to ...

Check the paper on ArXiv: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification Stochastic gradient-boosted ...

Nearly one year after Bend passed an ordinance to preserve the city’s tree canopy from development, the policy is at work. The result: nearly 1,500 trees will be torn down to make room for a large ...