How and when to stop the co-training process

Published: 2022, Last Modified: 13 Nov 2025Expert Syst. Appl. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Demonstrating the usage of model's outputs for overfitting or noise detection.•Retrieving a near-optimal co-training model without using a validation set.•Mostly co-training results cannot be improved further after a number of iterations.•Co-training has greater effect in transfer learning (TL) than in non-TL scenarios.
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