Generalized query by transduction for online active learning

Conference/Journal
IEEE
Authors
Vineeth N Balasubramanian Shayok Chakraborty Sethuraman Panchanathan
BibTex
Abstract
Abstract: Transductive inference has gained popularity in recent years as a means to develop pattern classification approaches that address the specific issue of predicting the class label of a given data point, instead of the more general problem of inferring the ideal classifier function. In this paper, we propose a Generalized Query by Transduction (GQBT) approach for active learning in the online setting. This approach is based on the theory of conformal predictions, which has recently been proposed based on principles of ...