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Applying Efficient Selection Techniques of Unlabelled Instances for Wrapper-based Semi-supervised Methods
2022
IEEE Access
Semi-supervised learning (SSL) is a machine learning approach that integrates supervised and unsupervised learning mechanisms. This integration may be done in different ways and one possibility is to use a wrapper-based strategy. The main aim of a wrapper-based strategy is to use a small number of labelled instances to create a learning model. Then, this created model is used in a labelling process, where some unlabelled instances are labelled, and consequently, these instances are incorporated
doi:10.1109/access.2022.3169498
fatcat:h7fd3rfuy5b2hjb3kfb36ydema