Search Results for author: Taylor Faucett

Found 2 papers, 2 papers with code

Learning to Identify Electrons

1 code implementation3 Nov 2020 Julian Collado, Jessica N. Howard, Taylor Faucett, Tony Tong, Pierre Baldi, Daniel Whiteson

We investigate whether state-of-the-art classification features commonly used to distinguish electrons from jet backgrounds in collider experiments are overlooking valuable information.

Data Analysis, Statistics and Probability High Energy Physics - Experiment High Energy Physics - Phenomenology

Parameterized Machine Learning for High-Energy Physics

2 code implementations28 Jan 2016 Pierre Baldi, Kyle Cranmer, Taylor Faucett, Peter Sadowski, Daniel Whiteson

We investigate a new structure for machine learning classifiers applied to problems in high-energy physics by expanding the inputs to include not only measured features but also physics parameters.

BIG-bench Machine Learning Vocal Bursts Intensity Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.