Abstract
Much unlabeled data is available on the Web, such as documents, images and videos; data is captured by sensors and satellites and the growth in the use of IoTs (internet of things). However, labeling such data can be costly and involve human resources, such as specialists in an area. In this context, semi-supervised learning has attracted the interest of researchers, as it employs a small…