Co-training: Revision history

19 March 2023

• curprev 19:1319:13, 19 March 2023‎ Walle talk contribs‎ 3,162 bytes +3,162‎ Created page with "{{see also|Machine learning terms}} ==Co-training in Machine Learning== Co-training is a semi-supervised learning technique in the domain of machine learning. It leverages both labeled and unlabeled data to improve the performance of classifiers. The technique was first introduced by Avrim Blum and Tom Mitchell in their 1998 paper, ''Combining Labeled and Unlabeled Data with Co-Training''. Co-training is particularly useful when labeled data is scarce, as it make..."