Surprisal Driven $k$-NN for Robust and Interpretable Nonparametric Learning

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.

Anomaly Detection Density Estimation +2