Almar van der Stappen

Towards Guidelines for Designing Human-in-the-Loop Machine Training Interfaces

Supervised machine learning approaches commonly require good availability and quality of training data. In applications that depend on human-labeled data, especially from experts, or that depend on contextual knowledge for training data sets, the human-in-the-loop presents a serious bottleneck to the scalability of tr…