Semi-supervised learning: Revision history

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21 March 2023

  • curprev 22:2622:26, 21 March 2023‎ Walle talk contribs‎ 4,243 bytes +4,243‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Semi-supervised learning is a type of machine learning approach that combines elements of both supervised and unsupervised learning methods. It leverages a small amount of labeled data along with a larger volume of unlabeled data to train models. This article will provide an overview of semi-supervised learning, discuss its advantages and challenges, and present commonly used techniques. ==Motivation and Advantage..."
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