Streaming Active Learning for Regression Problems Using Regression via Classification

Understand

One of the challenges in deploying a machine learning model is that the model's performance degrades as the operating environment changes.

• To maintain the performance, streaming active learning is used, in which the model is retrained by adding a newly annotated sample to the training dataset if the prediction of the sample is not certain enough.
• Although many streaming active learning methods have been proposed for classification, few efforts have been made for regression problems, which are often handled in the industrial field.
• In this paper, we propose to use the regression-via-classification framework for streaming active learning for regression.