Active Learning with Uncertain Annotators
In the digital age, many applications can benefit from collecting data. Classification algorithms, for example, are used to predict the class labels of samples (also termed data points, instances or observations). However, these methods require labeled instances to be trained on. Active learning is a machine learning paradigm where an active learner has to train a model (e.g., a classifier) ...