no code implementations • 17 Nov 2023 • Amartya Banerjee, Christopher J. Hazard, Jacob Beel, Cade Mack, Jack Xia, Michael Resnick, Will Goddin
Nonparametric learning is a fundamental concept in machine learning that aims to capture complex patterns and relationships in data without making strong assumptions about the underlying data distribution.
no code implementations • 2 Jan 2019 • Christopher J. Hazard, Christopher Fusting, Michael Resnick, Michael Auerbach, Michael Meehan, Valeri Korobov
Although fruitful in many domains, the added complexity has come at the cost of model interpretability.