An interpretable semi-supervised classifier using two different strategies for amended self-labeling

Isel Grau, Dipankar Sengupta, Maria M. Garcia Lorenzo +1

In the context of some machine learning applications, obtaining data instances is a relatively easy process but labeling them could become quite expensive or tedious. Such scenario…