Conformal predictions for information fusion

Springer International Publishing
Vineeth N Balasubramanian Shayok Chakraborty Sethuraman Panchanathan
Abstract The increased availability of a wide range of sensing technologies over the last few decades has resulted in an equivalent increased need for reliable information fusion methods in machine learning applications. While existing theories such as the Dempster- Shafer theory and the possibility theory have been used for several years now, they do not provide guarantees of error calibration in information fusion settings. The Conformal Predictions (CP) framework is a new game-theoretic approach to reliable machine ...