Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees.

Objective: Using traditional approaches, a brain-computer interface (BCI) requires the collection of calibration data for new subjects prior to online use. Calibration time can be reduced or eliminated e.g.