Distance-Penalized Active Learning Using Quantile Search

no code implementations • 28 Sep 2015 • John Lipor, Brandon Wong, Donald Scavia, Branko Kerkez, Laura Balzano

Adaptive sampling theory has shown that, with proper assumptions on the signal class, algorithms exist to reconstruct a signal in $\mathbb{R}^{d}$ with an optimal number of samples.

Active Learning