Understanding Generalized Transduction in Machine Learning Contexts
Overview and Definition Generalized transduction (GT) is a machine learning approach that focuses on transforming input data into output representations while considering both supervised and unsupervised tasks within a unified framework. This concept has drawn significant attention from researchers, practitioners, and experts due to its potential to bridge the gap between traditional machine learning paradigms. […]

