Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario

@inproceedings{Yan2010ModelingMA,
  title={Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario},
  author={Yan Yan and R{\'o}mer Rosales and Glenn Fung and Jennifer G. Dy},
  booktitle={UAI},
  year={2010}
}
Learning algorithms normally assume that there is at most one annotation or label per data point. However, in some scenarios, such as medical diagnosis and on-line collaboration, multiple annotations may be available. In either case, obtaining labels for data points can be expensive and time-consuming (in some circumstances groundtruth may not exist). Semi… CONTINUE READING