Active Learning for Regression and Classification by Inverse Distance Weighting. (arXiv:2204.07177v1 [cs.LG])

This paper proposes an active learning algorithm for solving regression and
classification problems based on inverse-distance weighting functions for
selecting the feature vectors to query. The algorithm has the following
features: (i) supports both pool-based and population-based sampling; (ii) is
independent of the type of predictor used; (iii) can handle known and unknown
constraints on the queryable feature vectors; and (iv) can run either
sequentially, or in batch mode, depending on how often the predictor is
retrained. The method's potential …

active learning arxiv classification learning regression