Self-training: Revision history

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21 March 2023

  • curprev 22:2622:26, 21 March 2023‎ Walle talk contribs‎ 3,879 bytes +3,879‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Self-training, a form of semi-supervised learning, is an approach in machine learning that combines both labeled and unlabeled data to improve the performance of a model. In this method, an initial model is trained on a small set of labeled data, and then it iteratively refines itself by incorporating the predictions it generates for the unlabeled data. This article will discuss the key concepts, advantages, and ch..."
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