active learning

Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation

Our contribution is the design and evaluation of an interactive machine learning interface that rapidly provides the user with model feedback after every interaction. To address visual scalability, this interface communicates with the user via a 'tip …