2000 character limit reached
Density Estimation Trees in High Energy Physics
Published 3 Feb 2015 in stat.AP, hep-ex, and physics.data-an | (1502.00932v1)
Abstract: Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.