How to Allocate Resources For Features Acquisition?

no code implementations • 10 Jul 2016 • Oran Richman, Shie Mannor

We study classification problems where features are corrupted by noise and where the magnitude of the noise in each feature is influenced by the resources allocated to its acquisition.

General Classification

Bending the Curve: Improving the ROC Curve Through Error Redistribution

no code implementations • 21 May 2016 • Oran Richman, Shie Mannor

Features that hold information about the "difficulty" of the data may be non-discriminative and are therefore disregarded in the classification process.

General Classification Meta-Learning