Other Adaptations

Elsevier Inc.
Vineeth N Balasubramanian Prasanth Lade Hemanth Venkateswara Evgueni Smirnov Sethuraman Panchanathan
Abstract The previous chapters demonstrated how the Conformal Predictions (CP) framework can be adapted to traditional machine learning problems including active learning, feature selection, anomaly detection, change detection, model selection, and quality estimation. In this chapter, we describe three other adaptations of the CP framework, each of which is non-traditional in its own way. The task of obtaining a reliability value for the classification of a data instance has been the focus of a number of studies. In Sections 9.2 ...